{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pima Indians Diabetes Data Set数据探索\n",
    "\n",
    "数据说明：\n",
    "Pima Indians Diabetes Data Set（皮马印第安人糖尿病数据集） 根据现有的医疗信息预测5年内皮马印第安人糖尿病发作的概率。   \n",
    "\n",
    "数据集共9个字段: \n",
    "0列为pregnants(怀孕次数)；\n",
    "1列为Plasma_glucose_concentration(口服葡萄糖耐量试验中2小时后的血浆葡萄糖浓度)；\n",
    "2列为blood_pressure(舒张压,单位:mm Hg）\n",
    "3列为Triceps_skin_fold_thickness(三头肌皮褶厚度,单位：mm）\n",
    "4列为serum_insulin(餐后血清胰岛素,单位:mm）\n",
    "5列为BMI,体重指数（体重（公斤）/ 身高（米）^2）\n",
    "6列为Diabetes_pedigree_function(糖尿病家系作用)\n",
    "7列为Age(年龄)\n",
    "8列为Target(分类变量,0或1）\n",
    " \n",
    "数据链接：https://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes\n",
    "\n",
    "p.s.: Kaggle也有一个Practice Fusion Diabetes Classification任务，可以试试:)\n",
    "https://www.kaggle.com/c/pf2012-diabetes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. import 工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先 import 必要的模块\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "检查数据规模\n",
    "读取测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train : (768, 9)\n"
     ]
    }
   ],
   "source": [
    "print(\"Train :\", train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据基本信息\n",
    "#total values in each column, null/not null, datatype, memory occupied etc\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "该数据集已知存在缺失值，某些列中存在的缺失值被标记为0。通过这些列中指标的定义和相应领域的常识可以证实上述观点，譬如体重指数和血压两列中的0作为指标数值来说是无意义的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数值型特征的基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从结果中我们可以看到很多列的最小值为0。而在一些特定列代表的变量中，0值并没有意义，这就表名该值无效或为缺失值。\n",
    "\n",
    "具体来说，下列变量的最小值为0时数据无意义：\n",
    "1、血浆葡萄糖浓度\n",
    "2、舒张压\n",
    "3、肱三头肌皮褶厚度\n",
    "4、餐后血清胰岛素\n",
    "5、体重指数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "print((train[NaN_col_names] == 0).sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "第1、2、5列中0值较少；相比较而言，第3、4列中的0值多出数倍，接近总量的一半。\n",
    "为了确保有足够的数据量来训练模型，针对不同的列需要有不同的缺失值判断策略。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 查看每个变量的分布 及其与标签之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#该问题为分类问题，类别型特征直方图可用countplot\n",
    "sns.countplot(train['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 怀孕次数pregnants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "### Number of occurrences\n",
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#怀孕次数有超过17的？\n",
    "#但在疾病判断案例中，异常值可能就意味着得病，不能删除\n",
    "ulimit = 10\n",
    "\n",
    "#删除怀孕次数大于10的样本\n",
    "train = train[train['pregnants'] < ulimit]\n",
    "print (train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f97b95dd6d8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAEKCAYAAAAIO8L1AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAGaFJREFUeJzt3XuUXXWV4PHvNo9JgDQhIdKYIiYCRoNIQkoQRVoJPURQHj5oGG2hQXFWI0LbonTr4jXjWjKowMjIDA/l0XRA8QEyCigtTTerISYhQEhEUJBUhpAQAZGAkLjnj3MKinhSuXXvrTo3Vd/PWrXuPeees8+u5N7a9/f7nfM7kZlIkrSp19SdgCSpM1kgJEmVLBCSpEoWCElSJQuEJKmSBUKSVMkCIUmqZIGQJFWyQEiSKo2uO4FW7Ljjjjl9+vS605CkrcrixYufzMwpW9puqy4Q06dPZ9GiRXWnIUlblYj4TSPb2cUkSapkgZAkVbJASJIqbdVjEFI7vPTSS/T09PDCCy/UnUq/xo0bR1dXF2PGjKk7FY0QFgiNeD09PUyYMIHp06cTEXWnUykzWbduHT09PcyYMaPudDRC2MWkEe+FF15g8uTJHVscACKCyZMnd3wrR8OLBUKCji4OvbaGHDW8WCAkSZUcg5AqrFu3jnnz5gGwevVqRo0axZQpxYWnCxcuZOzYsW0/5pIlS1izZg3z589ve2ypGRaICnNPu6rf1xef97EhykR1mTx5MkuXLgXgrLPOYrvttuOzn/1sw/tv3LiRUaNGDeiYS5YsYdmyZRYIdQy7mKQBev/738/cuXPZY489uOyyywDYsGEDEydO5NRTT+Wtb30rCxcu5MYbb2TmzJnMnTuXk08+mSOOOAKA3//+9xx33HHss88+zJkzhx/+8Ic8//zznHPOOVxzzTXMnj2b66+/vs5fUQJsQUgDduWVVzJp0iTWr19Pd3c3H/zgB5kwYQLPPPMMBxxwABdccAHr16/njW98I3feeSfTpk3jqKOOenn/c845h/nz53PFFVfw1FNPse+++3LfffdxxhlnsGzZMi644IIafzvpFbYgpAE6//zz2Wuvvdhvv/3o6enhV7/6FQBjx47lyCOPBGD58uXMnDmT17/+9UQExxxzzMv733rrrXzpS19i9uzZvOc97+GFF17gscceq+V3kfpjC0IagJ/+9Kfccccd3HXXXYwfP57999//5WsTxo8f39CpqJnJD37wA3bddddXrb/jjjsGJWepWbYgpAF45plnmDRpEuPHj+eBBx7g5z//eeV2s2bN4sEHH2TlypVkJtddd93Lrx188MF8/etff3n5nnvuAWDChAk8++yzg/sLSANggZAG4NBDD2X9+vXMmjWLL37xi+y7776V222zzTZcdNFFHHTQQXR3dzNx4kS23357AM4880yee+459txzT/bYYw/OOussAA488EDuvfde5syZ4yC1OoJdTNIW9P4Bh2LCvFtuuaVyu6effvpVywcddBAPPvggmcknP/lJuru7Adh222259NJL/2T/KVOmeAMsdZRBa0FExDcjYk1ELOuzblJE/CQiHiofdyjXR0T8z4h4OCLui4i9BysvaahcfPHFzJ49m1mzZvH888/ziU98ou6UpAEZzC6mK4BNr/g5HbgtM3cHbiuXAd4L7F7+nAhcPIh5SUPitNNOY+nSpaxYsYKrr76acePG1Z2SNCCDViAy8w7gt5usPhy4snx+JXBEn/VXZeEuYGJE7DxYuUmStmyoB6l3yszHy+ergZ3K51OBlX226ynX/YmIODEiFkXEorVr1w5eppI0wtV2FlNmJpBN7HdJZnZnZnfv5GmSpPYb6gLxRG/XUfm4ply/Ctilz3Zd5TpJUk2G+jTXG4FjgS+Xjzf0Wf+piLgW2Bd4pk9XlDSktjSb70A1OvvvzTffzCmnnMLGjRv5+Mc/zumnn77lnaRBNJinuS4A/gOYGRE9EXECRWH4y4h4CDioXAb4EfBr4GHgUuBvBysvqRNt3LiRk046iR//+McsX76cBQsWsHz58rrT0gg3aC2IzDxmMy/Nq9g2gZMGKxep0y1cuJDddtuNN7zhDQAcffTR3HDDDcyaNavmzDSSOdWG1AFWrVrFLru8MgzX1dXFqlUOw6leFghJUiULhNQBpk6dysqVr1wK1NPTw9SplZcCSUPGAiF1gLe97W089NBDPPLII7z44otce+21HHbYYXWnpRHO2VylTTR6Wmo7jR49mosuuoiDDz6YjRs3cvzxx7PHHnsMeR5SXxYIqUMccsghHHLIIXWnIb3MLiZJUiULhCSpkgVCklTJAiFJqmSBkCRVskBIkip5mqu0icfO2bOt8aadcf8Wtzn++OO56aabeO1rX8uyZcvaenypWbYgpA5w3HHHcfPNN9edhvQqFgipAxxwwAFMmjSp7jSkV7FASJIqWSAkSZUsEJKkShYISVIlT3OVNtHIaantdswxx3D77bfz5JNP0tXVxdlnn80JJ5ww5HlIfVkgpA6wYMGCulOQ/oRdTJKkShYISVIlC4QEZGbdKWzR1pCjhhcLhEa8cePGsW7duo7+A5yZrFu3jnHjxtWdikYQB6k14nV1ddHT08PatWvrTqVf48aNo6urq+40NIJYIAbZ3NOu6vf1xed9bIgy0eaMGTOGGTNm1J2G1HHsYpIkVbJASJIqWSAkSZVqKRAR8XcR8UBELIuIBRExLiJmRMTdEfFwRFwXEWPryE2SVBjyAhERU4FPA92Z+RZgFHA0cC5wfmbuBjwFOBGNJNWori6m0cD4iBgNbAM8DhwIXF++fiVwRE25SZKooUBk5irgK8BjFIXhGWAx8HRmbig36wGmDnVukqRX1NHFtANwODADeB2wLTB/APufGBGLImJRp1/YJElbszq6mA4CHsnMtZn5EvA94J3AxLLLCaALWFW1c2Zekpndmdk9ZcqUoclYkkagOgrEY8DbI2KbiAhgHrAc+BnwoXKbY4EbashNklSqYwziborB6CXA/WUOlwCfBz4TEQ8Dk4HLhzo3SdIrapmLKTPPBM7cZPWvgX1qSEeSVMErqSVJlSwQkqRKFghJUiULhCSpkgVCklTJAiFJqmSBkCRVskBIkirVcqFcu8097ap+X1983seGKBNJGj5sQUiSKlkgJEmVLBCSpEoWCElSJQuEJKmSBUKSVMkCIUmqZIGQJFWyQEiSKlkgJEmVLBCSpEoWCElSJQuEJKmSBUKSVMkCIUmqZIGQJFWyQEiSKlkgJEmVLBCSpEoWCElSJQuEJKlSQwUiIm5rZF2jImJiRFwfEb+IiBURsV9ETIqIn0TEQ+XjDs3GlyS1rt8CERHjImISsGNE7FD+EZ8UEdOBqS0c90Lg5sx8E7AXsAI4HbgtM3cHbiuXJUk1Gb2F1z8JnAq8DlgMRLn+d8BFzRwwIrYHDgCOA8jMF4EXI+Jw4N3lZlcCtwOfb+YYkqTW9VsgMvNC4MKIODkzv96mY84A1gLfioi9KArPKcBOmfl4uc1qYKc2HU+S1IQttSAAyMyvR8Q7gOl998nMq5o85t7AyZl5d0RcyCbdSZmZEZFVO0fEicCJANOmTWvi8JKkRjQ6SH018BVgf+Bt5U93k8fsAXoy8+5y+XqKgvFEROxcHm9nYE3Vzpl5SWZ2Z2b3lClTmkxBkrQlDbUgKIrBrMys/FY/EJm5OiJWRsTMzHwQmAcsL3+OBb5cPt7Q6rEkSc1rtEAsA/4ceHxLGzboZOCaiBgL/Br4G4rWzLcj4gTgN8BRbTqWJKkJjRaIHYHlEbEQ+EPvysw8rJmDZuZSqruo5jUTT5LUfo0WiLMGMwlJUudp9Cymfx3sRCRJnaWhAhERzwK9A9RjgTHAc5n5Z4OVmCSpXo22ICb0Po+IAA4H3j5YSUmS6jfg2Vyz8APg4EHIR5LUIRrtYvpAn8XXUJyB9MKgZCRJ6giNnsX0/j7PNwCPUnQzSZKGqUbHIP5msBORJHWWRudi6oqI70fEmvLnuxHRNdjJSZLq0+gg9beAGynuC/E64IflOknSMNVogZiSmd/KzA3lzxWAU6lK0jDWaIFYFxEfjYhR5c9HgXWDmZgkqV6NFojjKWZXXU0xo+uHKG8ZKkkanho9zfUc4NjMfAogIiZR3EDo+MFKTJJUr0ZbEG/tLQ4AmflbYM7gpCRJ6gSNFojXRMQOvQtlC6LR1ockaSvU6B/5rwL/ERHfKZc/DHxpcFKSJHWCRq+kvioiFgEHlqs+kJnLBy8tSVLdGu4mKguCRaFmc0+7qt/XF5/3sSHKRNJwN+DpviVJI4MFQpJUyQIhSapkgZAkVbJASJIqebHbCOdZUZI2xxaEJKmSBUKSVMkCIUmqZIGQJFWyQEiSKtVWIMpbl94TETeVyzMi4u6IeDgirouIsXXlJkmqtwVxCrCiz/K5wPmZuRvwFHBCLVlJkoCaCkREdAGHApeVy0Exlfj15SZXAkfUkZskqVBXC+IC4HPAH8vlycDTmbmhXO4BptaRmCSpMOQFIiLeB6zJzMVN7n9iRCyKiEVr165tc3aSpF51tCDeCRwWEY8C11J0LV0ITIyI3qk/uoBVVTtn5iWZ2Z2Z3VOmTBmKfCVpRBryApGZ/5CZXZk5HTga+JfM/AjwM+BD5WbHAjcMdW6SpFd00nUQnwc+ExEPU4xJXF5zPpI0otU6m2tm3g7cXj7/NbDPYBznsXP27Pf1aWfcPxiHlaStWie1ICRJHcQCIUmq5A2D1Fb93YDImw9JWxdbEJKkShYISVIlC4QkqZJjEOpY/Y1ngGMa0mCzBSFJqmSBkCRVskBIkipZICRJlSwQkqRKFghJUiULhCSpkgVCklTJAiFJquSV1E3o7wZE3nxI0nBhC0KSVMkCIUmqZIGQJFVyDGKY6W98BBwjkdQ4WxCSpEoWCElSJQuEJKmSYxBSyfEb6dVsQUiSKlkgJEmVLBCSpEqOQahf9stLI5ctCElSpSFvQUTELsBVwE5AApdk5oURMQm4DpgOPAoclZlPDXV+UjvY8tJwUEcLYgPw95k5C3g7cFJEzAJOB27LzN2B28plSVJNhrwFkZmPA4+Xz5+NiBXAVOBw4N3lZlcCtwOfH+r8NHj8Vi1tXWodg4iI6cAc4G5gp7J4AKym6IKSJNWktrOYImI74LvAqZn5u4h4+bXMzIjIzex3InAiwLRp04YiVQ0Tc0+7qt/Xvz9hiBKRthK1tCAiYgxFcbgmM79Xrn4iInYuX98ZWFO1b2Zekpndmdk9ZcqUoUlYkkagOs5iCuByYEVmfq3PSzcCxwJfLh9vGOrc6mC/vKROVUcX0zuBvwbuj4il5bp/pCgM346IE4DfAEfVkJskqVTHWUz/DsRmXp43lLlIWwtbmqqDV1JLkipZICRJlSwQkqRKzuaqrVbd/fL9XVfhNRUaDmxBSJIqWSAkSZXsYpKGoS1NK7L4vI8NUSbamtmCkCRVskBIkipZICRJlSwQkqRKFghJUiULhCSpkgVCklTJ6yCkDjDUt0Ote5oSbR1sQUiSKlkgJEmVLBCSpEoWCElSJQuEJKmSZzFJall/Z0V5RtTWyxaEJKmSBUKSVMkCIUmq5BiEpCHV7rvdbfkq9PP6fd0xks2zBSFJqmQLQtIWDeVcUc4T1TlsQUiSKlkgJEmVLBCSpEodNQYREfOBC4FRwGWZ+eWaU5KkVxlJYyQd04KIiFHA/wLeC8wCjomIWfVmJUkjVye1IPYBHs7MXwNExLXA4cDyWrOSpEHS7tZIu+N1TAsCmAqs7LPcU66TJNUgMrPuHACIiA8B8zPz4+XyXwP7ZuanNtnuRODEcnEm8GAD4XcEnmxjuu2M18m5tTteJ+fW7nidnFunx+vk3Nodr67cXp+ZU7a0USd1Ma0Cdumz3FWue5XMvAS4ZCCBI2JRZna3lt7gxOvk3Nodr5Nza3e8Ts6t0+N1cm7tjtfJuUFndTH9HNg9ImZExFjgaODGmnOSpBGrY1oQmbkhIj4F3EJxmus3M/OBmtOSpBGrYwoEQGb+CPjRIIQeUJfUEMfr5NzaHa+Tc2t3vE7OrdPjdXJu7Y7Xybl1ziC1JKmzdNIYhCSpgwzrAhER8yPiwYh4OCJOb0O8b0bEmohY1oZYu0TEzyJieUQ8EBGntBhvXEQsjIh7y3hntyHHURFxT0Tc1IZYj0bE/RGxNCIWtSHexIi4PiJ+ERErImK/JuPMLHPq/fldRJzaYm5/V/4fLIuIBRExrsV4p5SxHmgmt6r3bURMioifRMRD5eMOLcT6cJnbHyNiQGfQbCbeeeX/630R8f2ImNhivP9WxloaEbdGxOuajdXntb+PiIyIHVvM7ayIWNXn/XdIi/Gu6xPr0YhY2mi8Spk5LH8oBrp/BbwBGAvcC8xqMeYBwN7AsjbktzOwd/l8AvDLVvIDAtiufD4GuBt4e4s5fgb4Z+CmNvy+jwI7tvH/90rg4+XzscDENr1nVlOcI95sjKnAI8D4cvnbwHEtxHsLsAzYhmLM8KfAbgOM8SfvW+B/AKeXz08Hzm0h1psprkm6HehuQ27/GRhdPj+30dz6ifdnfZ5/GvjfzcYq1+9CcTLNbwbynt5MbmcBn23yvdHv3yPgq8AZzb73MnNYtyBenrojM18EeqfuaFpm3gH8th3JZebjmbmkfP4ssIIWrhzPwu/LxTHlT9MDTBHRBRwKXNZsjMESEdtTfDguB8jMFzPz6TaEngf8KjN/02Kc0cD4iBhN8Yf9/7UQ683A3Zm5PjM3AP8KfGAgATbzvj2coshSPh7RbKzMXJGZjVyw2mi8W8vfFeAuimuiWon3uz6L29Lg56Kfz/v5wOcajdNAvKb0Fy8iAjgKWNDKMYZzgdhqpu6IiOnAHIpv/a3EGVU2KdcAP8nMVuJdQPEh+GMrOfWRwK0Rsbi8Gr4VM4C1wLfKLrDLImLb1lPkaFr8QGXmKuArwGPA48AzmXlrCyGXAe+KiMkRsQ1wCK++oLRZO2Xm4+Xz1cBObYg5GI4HftxqkIj4UkSsBD4CnNFCnMOBVZl5b6s59fGpsgvsm4129TXgXcATmflQK0GGc4HYKkTEdsB3gVM3+aYzYJm5MTNnU3zj2ici3tJkTu8D1mTm4lby2cT+mbk3xWy9J0XEAS3EGk3RtL44M+cAz1F0kzStvDjzMOA7LcbZgeLb+QzgdcC2EfHRZuNl5gqKbpZbgZuBpcDGVnKsOEbSQmtzsETEF4ANwDWtxsrML2TmLmWsT21p+83ksw3wj7RQYCpcDOwKzKb4QvHVNsU9hha/7MDwLhANTd1Rp4gYQ1EcrsnM77Urbtnd8jNgfpMh3gkcFhGPUnTNHRgR/9RiTqvKxzXA9ym6AJvVA/T0aSFdT1EwWvFeYElmPtFinIOARzJzbWa+BHwPeEcrATPz8sycm5kHAE9RjFe16omI2BmgfFzThphtExHHAe8DPlIWsHa5Bvhgk/vuSlH47y0/G13Akoj482aTycwnyi92fwQupbXPBQBl1+YHgOtajTWcC0RHT91R9hFeDqzIzK+1Id6U3rM9ImI88JfAL5qJlZn/kJldmTmd4t/tXzKz6W/BEbFtREzofU4xCNn0mWCZuRpYGREzy1XzaH1a+LZ846LoWnp7RGxT/h/PoxhfalpEvLZ8nEbxwf/nlrMsPgvHls+PBW5oQ8y2iOLGYZ8DDsvM9W2It3ufxcNp/nNxf2a+NjOnl5+NHooTTVa3kNvOfRaPpIXPRR8HAb/IzJ6WI7Uywt3pPxT9tb+kOJvpC22It4CiGfgSxZvjhBZi7U/RrL+PottgKXBIC/HeCtxTxltGi2cv9In7blo8i4niTLJ7y58H2vR/MRtYVP6+PwB2aCHWtsA6YPs2/ZudTfFHaBlwNfCfWoz3bxQF8F5gXhP7/8n7FpgM3AY8RHFm1KQWYh1ZPv8D8ARwS4u5PUwxftj7uWjorKN+4n23/L+4D/ghMLXZWJu8/igDO4upKrergfvL3G4Edm4lXrn+CuC/tuO97JXUkqRKw7mLSZLUAguEJKmSBUKSVMkCIUmqZIGQJFWyQEgdKiJmD2R2T6ndLBDSZkTEqJpTmE1xLY9UCwuERqSImF7ec+CaKO4ncX159fOjEXFuRCwBPhwRu0bEzeUkg/8WEW8q9981Iu6K4h4X/z0ifl+uf3dE3B6v3KvimvKKaiLijIj4eRT3drikz/rby2MujIhfRsS7yqv/zwH+qpzb/68i4i/6zPV/T+/V6dJgsUBoJJsJfCMz3wz8Dvjbcv26zNw7M6+luMfvyZk5F/gs8I1ymwuBCzNzT4qrWPuaA5wKzKK4ivyd5fqLMvNtmfkWYDzFXEO9RmfmPuV+Z2YxRf0ZwHWZOTszryuPf1IWEzK+C3i+Pf8MUjULhEaylZl5Z/n8nyimP4FykrNypt13AN8pp1H/PxQ3egLYj1dmft10bqSFmdmTxQRsS4Hp5fr3RMTdEXE/cCCwR599eidrXNxn+03dCXwtIj5NcYOkDZvZTmqL0XUnINVo03lmepefKx9fAzxdfmMfiD/0eb4RGB3FbUe/QXHHtZURcRYwrmKfjWzmc5mZX46I/0sxLnFnRBycmU1NPCc1whaERrJp8cq9rP8L8O99X8zi/hyPRMSHoZiBNyL2Kl++i1emjT66gWP1FoMny5bJhxrY51mK29FSHn/XLGYUPZdituI3NRBDapoFQiPZgxQ3L1oB7EBx85ZNfQQ4ISJ6Z6LtvW3tqcBnIuI+YDfgmf4OlMU9Oi6lmFX0Foo/8FvyM2BW7yA1cGo5wH0fxQyeLd9pTeqPs7lqRCpv83pTOWDczP7bAM9nZkbE0cAxmdnSPc+lTuMYhNScucBF5amqT1PcO1kaVmxBSJIqOQYhSapkgZAkVbJASJIqWSAkSZUsEJKkShYISVKl/w8/8lEc9/cTUgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"pregnants\", hue=\"Target\",data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "怀孕次数和是否得病好像还真有关系！！！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plasma_glucose_concentration\n",
    "血浆葡萄糖浓度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/surfman/.local/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Plasma_glucose_concentration, kde = False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Plasma_glucose_concentration', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### blood_pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAAELCAYAAADDZxFQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAFQBJREFUeJzt3Xu0ZnV93/H3BwYVUBkuIwu5OGNEDXElClPA0mUtpCmiAdIS5aIdCQltive0CiFrmbRdjSyNRtsGnIAyKopCSJgSiuII3qKDM0pAQMIEZBjK5WQpeGFFIHz7x94jx/F3Zh7mzHM557xfa511nv179nP2dz/PnPOZ32/v/dupKiRJ2tJO4y5AkjSZDAhJUpMBIUlqMiAkSU0GhCSpyYCQJDUZEJKkJgNCktRkQEiSmhaNu4DZ2GeffWrp0qXjLkOS5pT169f/Q1Ut2dZ6czogli5dyrp168ZdhiTNKUnuHmQ9h5gkSU0GhCSpyYCQJDUZEJKkJgNCktRkQEiSmgwISVLT0AIiyUeSPJjk29Pa9kpybZI7+u979u1J8qEkG5LclOTQYdUlSRrMMHsQFwPHbtF2NrCmqg4G1vTLAK8CDu6/zgTOH2JdkqQBDO1K6qr6UpKlWzSfALyyf7wKuB54V9/+saoq4OtJFifZr6ruG1Z90lzxybUbB1rv1CMOGnIlWmhGfQxi32l/9O8H9u0f7w/cM229TX2bJGlMxnaQuu8t1FN9XZIzk6xLsm5qamoIlUmSYPQB8UCS/QD67w/27fcCB05b74C+7edU1cqqWl5Vy5cs2eZkhJKk7TTq2VxXAyuA9/Tfr5zW/qYklwJHAA97/EF6ajxWoR1taAGR5FN0B6T3SbIJeDddMHwmyRnA3cBr+9WvBo4DNgCPAKcPqy5J0mCGeRbTKTM8dUxj3QLOGlYtkqSnziupJUlNBoQkqcmAkCQ1GRCSpCYDQpLUZEBIkpoMCElSkwEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaDAhJUpMBIUlqMiAkSU0GhCSpyYCQJDUZEJKkJgNCktRkQEiSmgwISVKTASFJajIgJElNBoQkqWnRuAuQNFqfXLtxm+ucesRBI6hEk84ehCSpyYCQJDUZEJKkJgNCktRkQEiSmsZyFlOStwO/DRRwM3A6sB9wKbA3sB54Q1U9Oo76pFEZ5IwiaVxG3oNIsj/wFmB5Vb0E2Bk4GTgP+EBVvQD4PnDGqGuTJD1pXENMi4BdkywCdgPuA44GLu+fXwWcOKbaJEmMISCq6l7gfcBGumB4mG5I6aGqerxfbROw/6hrkyQ9aRxDTHsCJwDLgOcCuwPHPoXXn5lkXZJ1U1NTQ6pSkjSOIaZfBe6qqqmqegy4AjgKWNwPOQEcANzbenFVrayq5VW1fMmSJaOpWJIWoHEExEbgyCS7JQlwDHArcB1wUr/OCuDKMdQmSeqN4xjEWrqD0d+kO8V1J2Al8C7gHUk20J3qetGoa5MkPWks10FU1buBd2/RfCdw+BjKkXY4r2/QfOCV1JKkJgNCktRkQEiSmgwISVKTASFJajIgJElNBoQkqcmAkCQ1GRCSpCYDQpLUZEBIkpoMCElSkwEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaDAhJUpMBIUlqMiAkSU0GhCSpyYCQJDUZEJKkJgNCktRkQEiSmrYZEEn2HkUhkqTJMkgP4utJLktyXJIMvSJJ0kQYJCBeCKwE3gDckeR/JHnhcMuSJI3bNgOiOtdW1SnA7wArgBuSfDHJy4deoSRpLBZta4X+GMTr6XoQDwBvBlYDLwUuA5YNs0BJ0ngMMsT0NeDZwIlV9eqquqKqHq+qdcAF27PRJIuTXJ7kO0luS/LyJHsluTbJHf33PbfnZ0uSdoxBAuJFVfXfqmrTlk9U1Xnbud0PAtdU1YuBXwFuA84G1lTVwcCaflmSNCaDBMTnkizevJBkzySf3d4NJtkDeAVwEUBVPVpVDwEnAKv61VYBJ27vNiRJszdIQCzp/4ADUFXfB54zi20uA6aAjyb5VpILk+wO7FtV9/Xr3A/sO4ttSJJmaZCA+KckB21eSPI8oGaxzUXAocD5VfUy4MdsMZxUVTXTNpKcmWRdknVTU1OzKEOStDWDBMS5wFeSfDzJJ4AvAefMYpubgE1VtbZfvpwuMB5Ish9A//3B1ouramVVLa+q5UuWLJlFGZKkrRnkOohr6P6Afxq4FDisqrb7GERV3Q/ck+RFfdMxwK10p86u6NtWAFdu7zYkSbO3zesgek8Hvtevf0gSqupLs9jum4FLkjwNuBM4nS6sPpPkDOBu4LWz+PmSpFka5EK584DXAbcAT/TNRTfUtF2q6kZgeeOpY7b3Z0qj8sm1G8ddgjQSg/QgTqS7FuInwy5GkjQ5BjlIfSewy7ALkSRNlkF6EI8ANyZZA/y0F1FVbxlaVZKksRskIFb3X5KkBWSbAVFVq5LsChxUVbePoCZJ0gQY5Jajvw7cCFzTL780iT0KSZrnBjlI/YfA4cBD8NNTVJ8/xJokSRNgkIB4rKoe3qLtieaakqR5Y5CD1LckORXYOcnBwFuAvxluWZKkcRukB/Fm4JfoTnH9FPAD4G3DLEqSNH6DnMX0CN2MrucOvxxJ0qQYZC6m62jcm6Gqjh5KRZKkiTDIMYj/PO3xM4B/Bzw+nHIkSZNikCGm9Vs0fTXJDUOqR5I0IQYZYtpr2uJOwGHAHkOrSJI0EQYZYlpPdwwidENLdwFnDLMoSXPDIPfGOPWIg7a5jibTIENMy0ZRiCRpsgwyxPRvt/Z8VV2x48qRJE2KQYaYzgD+OfCFfvlf0V1JPUU39GRASNI8NEhA7AIcUlX3ASTZD7i4qk4famWSpLEaZKqNAzeHQ+8BwKNOkjTPDdKDWJPks3TzMAG8Dvj88EqSJE2CQc5ielOS3wBe0TetrKq/HG5ZkuaLQU6FBU+HnUSD9CAAvgn8sKo+n2S3JM+qqh8OszBJ0ngNcsvR3wEuBz7cN+0P/NUwi5Ikjd8gB6nPAo6iuw8EVXUH8JxhFiVJGr9BAuInVfXo5oUki2hM/y1Jml8GCYgvJvl9YNck/xq4DPg/wy1LkjRugwTE2XRXTd8M/AfgauAPhlmUJGn8tnoWU5KdgY9V1WnAn4+mJEnSJNhqD6Kq/gl4XpKnjageSdKEGOQ6iDvp7iK3Gvjx5saqev/QqpIkjd2MPYgkH+8fHg9c1a/7rGlfs5Jk5yTfSnJVv7wsydokG5J82l6LJI3X1noQhyV5LrAR+J9D2PZbgduAZ/fL5wEfqKpLk1xAN834+UPYriRpAFs7BnEBsAZ4IbBu2tf6/vt2S3IA8Grgwn45wNF0V2wDrAJOnM02JEmzM2NAVNWHquoXgY9W1fOnfS2rqufPcrt/CrwTeKJf3ht4qKoe75c30U3pIUkak21eB1FVv7sjN5jkNcCDVbV+O19/ZpJ1SdZNTU3tyNIkSdMMcqHcjnYUcHyS7wKX0g0tfRBY3E/jAXAAcG/rxVW1sqqWV9XyJUuWjKJeSVqQRh4QVXVOVR1QVUuBk4Ev9BfiXQec1K+2Arhy1LVJkp40jh7ETN4FvCPJBrpjEheNuR5JWtAGvWHQUFTV9cD1/eM7gcPHWY8k6UmT1IOQJE0QA0KS1GRASJKaDAhJUpMBIUlqGutZTOP0ybUbB1rv1CMOGnIlkjSZ7EFIkpoMCElSkwEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaFuyV1JJmNuhMA5rf7EFIkpoMCElSkwEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaDAhJUpNTbUg9p5eQfpY9CElSkz0ILQj2DqSnzh6EJKnJgJAkNRkQkqSmkQdEkgOTXJfk1iS3JHlr375XkmuT3NF/33PUtUmSnjSOHsTjwO9V1SHAkcBZSQ4BzgbWVNXBwJp+WZI0JiMPiKq6r6q+2T/+IXAbsD9wArCqX20VcOKoa5MkPWmsxyCSLAVeBqwF9q2q+/qn7gf2HVNZkiTGGBBJngn8BfC2qvrB9OeqqoCa4XVnJlmXZN3U1NQIKpWkhWksAZFkF7pwuKSqruibH0iyX//8fsCDrddW1cqqWl5Vy5csWTKagiVpARrHWUwBLgJuq6r3T3tqNbCif7wCuHLUtUmSnjSOqTaOAt4A3Jzkxr7t94H3AJ9JcgZwN/DaMdQmSeqNPCCq6itAZnj6mFHWIkmamVdSS5KaDAhJUpMBIUlqMiAkSU0GhCSpyTvKSZoIg9z179QjDhpBJdrMHoQkqcmAkCQ1GRCSpCYDQpLUZEBIkpoMCElSkwEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0KS1GRASJKaDAhJUpMBIUlqMiAkSU3eMEhz2iA3mdH8Mejn7Y2Fdgx7EJKkJgNCktRkQEiSmjwGIWlB2pHHr+brMQ97EJKkJnsQmlieoaTt5b+dHcMehCSpyYCQJDUZEJKkpok6BpHkWOCDwM7AhVX1njGXtCAMMl47X8/SkDSzielBJNkZ+N/Aq4BDgFOSHDLeqiRp4ZqkHsThwIaquhMgyaXACcCtY61qDhvHmRyePaKFaEfOETVJ801NTA8C2B+4Z9rypr5NkjQGk9SDGEiSM4Ez+8UfJbl9O3/UPsA/bGul07bzh4/QQPsxWyN4H0ayHyPgfkyWidqPWfwe/dx+zPJ38nmDrDRJAXEvcOC05QP6tp9RVSuBlbPdWJJ1VbV8tj9n3NyPyeJ+TBb3Y3YmaYjpG8DBSZYleRpwMrB6zDVJ0oI1MT2Iqno8yZuAz9Kd5vqRqrplzGVJ0oI1MQEBUFVXA1ePaHOzHqaaEO7HZHE/Jov7MQupqnFsV5I04SbpGIQkaYIsyIBIcmyS25NsSHL2uOsZVJIDk1yX5NYktyR5a9++V5Jrk9zRf99z3LVuS5Kdk3wryVX98rIka/vP5NP9iQoTLcniJJcn+U6S25K8fI5+Fm/v/z19O8mnkjxjLnweST6S5MEk357W1nz/0/lQvz83JTl0fJX/rBn24739v6ubkvxlksXTnjun34/bk/ybYda24AJijk/p8Tjwe1V1CHAkcFZf+9nAmqo6GFjTL0+6twK3TVs+D/hAVb0A+D5wxliqemo+CFxTVS8GfoVuf+bUZ5Fkf+AtwPKqegndCSInMzc+j4uBY7dom+n9fxVwcP91JnD+iGocxMX8/H5cC7ykqn4Z+DvgHID+9/1k4Jf61/xZ/zdtKBZcQDBtSo+qehTYPKXHxKuq+6rqm/3jH9L9Qdqfrv5V/WqrgBPHU+FgkhwAvBq4sF8OcDRweb/KXNiHPYBXABcBVNWjVfUQc+yz6C0Cdk2yCNgNuI858HlU1ZeA723RPNP7fwLwsep8HVicZL/RVLp1rf2oqs9V1eP94tfprguDbj8uraqfVNVdwAa6v2lDsRADYl5M6ZFkKfAyYC2wb1Xd1z91P7DvmMoa1J8C7wSe6Jf3Bh6a9gsxFz6TZcAU8NF+qOzCJLszxz6LqroXeB+wkS4YHgbWM/c+j81mev/n8u/9bwH/t3880v1YiAEx5yV5JvAXwNuq6gfTn6vutLSJPTUtyWuAB6tq/bhrmaVFwKHA+VX1MuDHbDGcNOmfBUA/Rn8CXeA9F9idnx/umJPmwvu/LUnOpRtavmQc21+IATHQlB6TKskudOFwSVVd0Tc/sLm73H9/cFz1DeAo4Pgk36Ub3juabix/cT/EAXPjM9kEbKqqtf3y5XSBMZc+C4BfBe6qqqmqegy4gu4zmmufx2Yzvf9z7vc+yRuB1wCn1ZPXI4x0PxZiQMzZKT36sfqLgNuq6v3TnloNrOgfrwCuHHVtg6qqc6rqgKpaSvfef6GqTgOuA07qV5vofQCoqvuBe5K8qG86hm5q+jnzWfQ2Akcm2a3/97V5P+bU5zHNTO//auDf92czHQk8PG0oauKku3naO4Hjq+qRaU+tBk5O8vQky+gOut8wtEKqasF9AcfRnRnw98C5467nKdT9L+i6zDcBN/Zfx9GN4a8B7gA+D+w17loH3J9XAlf1j5/f/0PfAFwGPH3c9Q1Q/0uBdf3n8VfAnnPxswD+CPgO8G3g48DT58LnAXyK7rjJY3Q9ujNmev+B0J29+PfAzXRnbY19H7ayHxvojjVs/j2/YNr65/b7cTvwqmHW5pXUkqSmhTjEJEkagAEhSWoyICRJTQaEJKnJgJAkNRkQkqQmA0JzXpKl06dKntZ+fZJZ3+g9yRuT/K/Z/hxprjEgpBGYNm3FvNqW5jcDQvPFoiSX9DfuuTzJbtOfTHJKkpv7m+KcN0D76Un+LskNdHMTzSjJxUkuSLKuf81r+vY3Jlmd5At0V/eS5L8k+UZ/I5g/6tt2T/LXSf62r+N1fft70t0c6qYk75u2rZOmbftH/fdXJvlyktV0U2WQ5PVJbkhyY5IPD/O+AZqf/J+G5osXAWdU1VeTfAT4T5ufSPJcuhvgHEZ385vPJTmRbiqJVvtauuknDqOb/vo64Fvb2P5Sunn5fwG4LskL+vZDgV+uqu8l+TW6uXMOp5v6YXWSVwBLgP9XVa/u690jyd7AbwAvrqqafkexrTiU7iYzdyX5ReB1wFFV9ViSPwNOAz42wM+RAANC88c9VfXV/vEn6O6Sttk/A66vqimAJJfQ3eynZmhni/ZPAy/cxvY/U1VPAHckuRN4cd9+bVVtvhnMr/Vfm8PmmXSB8WXgT/oezFVV9eV+mOgfgYvS3Zb1qgHegxuqu4kMdJPuHQZ8o5uDj12Z/JllNWEMCM0XW04qNupJxmba/o+ntQX446r68JYvTneP5OOA/55kTVX91ySH0/2hPwl4E93U6I/TDw0n2QmYfq/oLbe1qqrO2f5d0kLnMQjNFwcleXn/+FTgK9OeuwH4l0n26cfhTwG+uJX2tX373v39N35zgO3/ZpKdkvwC3UyotzfW+SzwW/0Nn0iyf5Ln9ENgj1TVJ4D3Aof26+xRVVcDb6e75zXAd+l6BgDHA7vMUM8a4KQkz+m3tVeS5w2wH9JP2YPQfHE7cFZ//OFWupvS/zp09/JOcjbdsYQAf11VVwJspf0Pga8BD9FNt7wtG+kC59nAf6yqf+yHdn6qqj7XHxv4Wv/cj4DXAy8A3pvkCbopn38XeBZwZZJn9LW9o/8xf963/y1wDT/ba5i+rVuT/AHdcZWd+p97FnD3APsiATjdtzRbSS6mO3Zw+bhrkXYkh5gkSU0OMUkDSncD+S2PR1xWVW8cQznS0DnEJElqcohJktRkQEiSmgwISVKTASFJajIgJElN/x/CYIXbe1Gy7wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.blood_pressure, kde = False)\n",
    "plt.xlabel('blood_pressure')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "血压为0？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "查看blood_pressure与标签之间的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='blood_pressure', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('blood_pressure', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Triceps_skin_fold_thickness\n",
    "三头肌皮褶厚度（单位：mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Triceps_skin_fold_thickness, kde = False)\n",
    "plt.xlabel('Triceps_skin_fold_thickness')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like there are some outliers in this feature. So let us remove them and then plot again.\n",
    "但在疾病判断案例中，异常值可能就意味着得病，不能删除\n",
    "\n",
    "ulimit = 80\n",
    "train = train[train['Triceps_skin_fold_thickness'] < ulimit]\n",
    "\n",
    "plt.scatter(range(train.shape[0]), train[\"Triceps_skin_fold_thickness\"].values,color='purple')\n",
    "plt.title(\"Distribution of Triceps_skin_fold_thickness\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Triceps_skin_fold_thickness', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Triceps_skin_fold_thickness', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### serum_insulin\n",
    "餐后血清胰岛素（单位:mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.serum_insulin, kde = False)\n",
    "plt.xlabel('serum_insulin')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "serum_insulin与标签之间的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='serum_insulin', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('serum_insulin', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BMI\n",
    "体重指数（体重（公斤）/ 身高（米）^2）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.BMI, kde = False)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='BMI', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BMI=0？\n",
    "为缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f97b943d860>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI', 'Target'])['BMI'].count().unstack('Target').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Diabetes_pedigree_function，糖尿病家系作用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Diabetes_pedigree_function，糖尿病家系作用\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Diabetes_pedigree_function, kde = False)\n",
    "plt.xlabel('Diabetes_pedigree_function')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f97b695d908>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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15eLeS/7O4i5VJpVkKJUfxXzO8qEob/G/UvlUso53JlMZ+Up+LxF32TbRSZwlwy8Td2d1qZLcHfKjyvdS4XWpbMrJXyYt5a6tKs+6SM2Ud4zx5hjj5Bjj5J79Kisnx3EcZ9/xaRPHcZw6pBpXwZ8CTwDjQwgNIYT3dr9YjuM4Tmf0qnRBjPHtB0IQx3Ecp3p82sRxHKcOceXtOI5Th7jydhzHqUNceTuO49Qhrrwdx3HqEFfejuM4dYgrb8dxnDrElbfjOE4d4srbcRynDnHl7TiOU4e48nYcx6lDXHk7juPUIa68Hcdx6hBX3o7jOHWIK2/HcZw6xJW34zhOHeLK23Ecpw5x5e04jlOHuPJ2HMepQ1x5O47j1CGuvB3HceoQV96O4zh1iCtvx3GcOsSVt+M4Th3iyttxHKcOqUp5hxCmhBAWhBAWhxCu726hHMdxnM6pqLxDCD2B/wu8FpgAvD2EMKG7BXMcx3HKU43lfQ6wOMa4NMbYAvwM+PvuFctxHMfpjGqU9yhgZfa9QX9zHMdxXiJCjLHzC0J4CzAlxvg+/f4u4NwY40cK110HXKdfTwV26uftwIAq3rty7b7c83K+9mCSpd6uPZhkORiuPZhkORiuPZCy9Ikx2m8VqcbyXgUcnX0frb91IMZ4c4xxcoxxMvAs0FdfG6p878q1+3LPy/nag0mWerv2YJLlYLj2YJLlYLj2QMqygC5QjfKeBpwQQhgXQugDXAX8riuROI7jOLWlV6ULYoytIYSPAPcCPYFbY4zPdbtkjuM4Tll6Tp06teJFU6dOXTR16tTvTJ069b+mTp3650rXf/GLXwRoBOYDv9HPld67cu2+3PNyvvZgkqXerj2YZDkYrj2YZDkYrj2gskydOvUZqqTigqXjOI5z8OHb4x3HceoQV96O4zh1iCtvx3GcOqSit8m+EEL4cYzxmux7/xjjjsI1xwJHxRj/EkI4HzgSWJB7soQQvhJj/Gz2fRwwCdgMPBFjbAohBOBa4M2IR8xNMcZWvX4s4iEzBngR6A0MBt4ETAfuAT4O7EYc5RcC98UY20MIw2OMG0IIvWOMuwuyW7jHxhjv19+OAE6OMT4UQhgPnAIsiTHO1v97xxh3hxC+Bfyzfh4eY9yg/w8H+gHrCuk6Eymn/xNj3KnXDtPw18YYF4QQXgmcD6wFWoDJiO/oLOA+/f6hGOM/6Lk0U4DXxRgvLlF2PQA0D44AjgKWxRg3Fa77R+B7wG0xxms0zYcBFyGLL38BXhlj/K5ePwbYFmPcovk3GXg+xvhsIdxhMcaNGvdrNE++D7wduBCYp2l7CvgScDXwIS3jJ4FDgXXAucBFlsYQwo+B9wG7Y4xR8/B04Cxk0ehu4DzgJOB4YJjm/YOa13cDtwPHAktjjFsymQcCI2KMS0IIf5fVidNjjHOy6/pr3p8GbNW03Ae8W+OaBzwPvKjl+grg74BpMca7Cvk0EDhBZdmc/f5W4NEY45oQwgjgbxH/4XdoeZWqX6XiPR+Yn8ebt+PC5yOAfjHGpVq2Z1Joy+UIIfwt8AbgcKA/sBFp458n1d0YY5yW1d3ngbExxu9qvWrT9J0FDEXq3r9qmJTIi+OQdt5UKm0HirzeFH7vUG/K3r+/C5YhhLuBcUATojiOQhSxBdxDP69CNvhsRJTR4EJQMXvPRwRN2fc+iIIamV0f9lH09kw+i7dUWO1I5eit12wDBurvPVW+XlTuCCMpbSZ7exZvm/5XDKcRUWCl5AqFMIvy71a5cxlC9nu7fs7zoHeJcKLKcZjK2aSfi+HaZ7Lvlq6I7LrtjWxIsN+L6cvDCewddlfLu03vKeZ7z+z/niXuM+ye3Uj9M3Zl4fQBmpGOoyhnMx3LoFWvbyPlQbO+99HwImJsHJ7da/XH5A2kOtCAtK02OsZl6WtH6lVAyu5FpM1Cx/yM2ct2SG8EhiPl3QPYofIOzq61OF9E2v+OTNaBiGHUBzhE4wvZvfa9mG+W7016Xw/Nu/WIku9PR13RSmo7xbbdquFu1vdhhTxq1rBOjjEuowQhhMNjjOsKv3VQ+HZN1klfiHTSf9E8eQ8wEdnE+HdI+e5WuSOwGLgCuD3GeGYpOTrEXwPlvRVpjGuRCpQ3jL8m9kWxOAc/f83lmnds1lEUO9RS7Gue7W9H3dU4iuwC/oSMOoaQOphmxMAodnRmdPWk83DLGWB27wZgENL5NQONMcZJlRJSC+U9CzhjvwJxuptK1iV0tFyqpSuNrVaNMR/BgIz2+pS/3CmQl0NR8fw1d1QHmnyEaqOUXYgh/Gw1lnctFix7IEMbm7cxoTaVvhwQRdEZXelROru2vcL3/Y2rs3TEMu+dhVlKviI21VLunljis5XzmhJy2P3VjJbKpSGfwql0bbUUw8orex5XUXGXirdR3zub02wqxFNJrs7Kqppy7ArVylRKhrbC77ly7ln4rWhZlgqv3PfOyK+tph0Uv+8u/Nae/V5JjhZ9b+r0quqx+Pa3fls9bss+90DK5JRqAqiF8v4q0oDGIhlliRqaXWMJ3qjvlSy83JqzeVkKn8tdW8R+j8j802793IrMxVVDUVmuJ81Z2v/FwszlymXOG1MLHRtMXh7lKmgPvacVmZcsVqYArNZ4ijIdzt6WlcVZjcWVX2PpL865l1uL6KpFZ+XWhixAGq363eZ8zWopF4+tU4DMkxax/OtLxzIDKZ/O6lsLeytH6Fq72o2kqVjHttIxL8spwFaSgqokQzvllV2xrqwvXJvnq817t2ey2zx9nl82b57LUqxDeZi5nCH7bHPqxU6mNx3Xa/L2aO99VMbeiAIvlX77bSuVDUszBDZUuK4z5b4t+2xrUKuR/JuFzI1XpCY7LHWFeTuSsHHAG4EXkIn5HTHGF0IIo5BhwZEq6NAY42K9fzhwDHAx8Gu97mTgOaSSHItUhIXI4sUgZEX6aaRDGAZsjjHuqQy6mj4EefrPJMTqXIAsWuwi9XqtwGXAIzHG1dn9w5FG0QtZRBiNrNZvizE2Ztd0iFd/7w/0VW+VYxEPhsVIgW7UtL4eeEbzaSiwVG+/MMb4M5V/T7pCCEdqOu5GzlPfHGPcWULO44HPIspoAPLgjOHATMQTxBau5mmeNOs1X9W8GoB4YXwXWZTaonl+ot43AJihZXoK8AnE8+MpjWc2Yj1M0vuPBr6t3ychHkZTQwinIV4XM2KMz4cQLtK86IvMD87SeN+mcq1AlO89iGfJMmQRfCRiOCxQWafo/Zv1/qeBI4B3AZ+LMa7NymgQUh93AOORxbUFmi8TgEuQOrdT07YDeFzLLwJPqffM8Sr3GOAhLbctet0FWv7TNA2zEa+WV2ld+IPGOQxRMJNijH/UukAI4Thgp3pMDEQWwabHGFdb/UMWE89BFMpRSOd2uJb5K7UMegE/17RchbSvOZqOJ7VcxyDHOf9ao18aY9wcQhgVY1yV1/cQwmF6zzak/m7OvKEOQ3TLDvVCOhap/8chbbxZ0363ln3Q34/QMlursg1C2up2zcutWg7z9b82RDmv1jI/FdFBc5F560uRejkKeCbG+JjKNwrxUOqDTPmOVXnOIRlHlaaQ2pE2e5wVVZnrrM0PL/y+DdE7H0e8c24HrowxVv2UslrMed+ANP7+SALM4s6VY95DQrJGdyIr5d9EGtcJSCKbkIaUD+XNGnkB+CPwMeAxpLAORSrteKQRFTO+VGHY99x6s996Iw31EJKys/SsUtkHIIU/X+U9TdPeQvKQ6V8i3e3Zb9s0rhc13EWal+ZV8ywwAlGch+s9Njd2iOaPWb259ZtPY+QeCO2arj762y5E0d8FvAXpdE/R/5YgZTEUmQKLmrdrVKZiZSzSqjK1a1qGa7hbVaZBSCPepPlk3jxRZeyLdL6wbyNEq9htSOMejNS3wxCr0qZbjqoyDhutWT43IkplN1LmRyDKsxeSP1uBTyH5ebr+fjLSWfRUWXoiDzo5TH8v1hXo6Jlhlm4PRGk3IXk4BunsJgL/jTyy8EHEvXId0qFvQdrUA0hej0MMkp1IXV6BtK0WpGOpxoPKaNfwZyEGyXmaVpP1EP1/m35uV/mPQep1MR6rxzvp6KFiHic9SRa+tYGi8tyF1KPBpLpVbn2mHSnPG4DfIx3eY4heMaPguBjjs9qB9QI26KF9vZB83wz0jzHO1t8uROp9QFwUn0LK62SV+WqkXAZrPJuQevMl4IUYo3WgZamF8rbhoymI3JXJOBgWQsw9rhYr4fvy/8FEPiytlcwHIv354mQTouBz8o5xXyi6VlbipV7o645yrERxwbiW7Gv57W/+5+sDz+j7eJIrcG+kgzukcF8bUiefRoyfWxFr2haBi/lU7rdtGtZgpHO6PcZYceqkFsp7lwq7A7GUzJLdxd5zjPvbuCqRW57VxlPNtdV4a7yUVOs1YGk1K+6lTFM1Dc7SZUq73Hz6vsaZK+ty9aBUp9+dyrpU2ObHXet4K3VWpTrIWraFUnm6P2m0ezuTMW8DdDGuWuZ/3mbbSZ4mbTHGYp6XpBaKtJG0Smo9S0+S4s57h+KCUKnFHvu/uHDQWS9j/xXvKRd+jq1Cd7ZqbRWhktzlKLV4WIqiJ0kp8sU0o+g1UFy4MfLFyX1pgLHwnv9eyaOguKhWTSMwGU1xF+tPqXg6W0QuLj7m9aWR0hQXy4qfS9EVr6ZyC905owr/FdNRTTylsPrQXng3SimR4j2dydBZ+waZ8jH2ZQRh7aWoiPO6XdQJ1cRTLg/3p1Mp0hOZKrU09EGmY6rWLbVQ3iuQrea7qawU8hXkcvHfpdcV58E6y7h89TkPN+9QyhWIOc+XkqXcPZbGZso3pPze4jRSOUrN3RWx/zvzbba8y70/OlN0IPPC5bDhYblGbvORRRlz9sUXu1THH+i8AeY7J4v/5zJE0o5IKO2J0lXMQ2SXfq/GPa2rXj5Q3lreQVoY31LmmhzLqx6F92pkKV5bSomWS5vVy0oWZqXt6mY0lIrH5OlMjxSndltL/J7/35kcpX4rpYjza0eRdKaVadV7LWpxtsk3gF8AVyJzNt9AJt97IKusm/T3gCys3IosONqCz6eRVfBPIIsr30RWyY9CJv2XIYeVv1vjWxhjfGcIYTCysHI2slp7EmmIPQdZ/Pss8LcxxocBQgjvJw2bLtV7+yEZt1Pl/F9k4WYSshJt23oHAo8gCnu5pmsl4l0wHLicVBgnICvRf0AWPs4jdUhrkMXWC+n4zLqFwEdUpsM0vPHIguFQlXkV8gg6G84+p3INQ8516KP3jNDrB2hePIwolnP0uv6I4lqDLLjuRBr9w4jHyiGaL2dqOX0KWcQZiiw0nocsNM1AFlXPQ7xXTgJuRFb6X6fXBi3Ph/T+8SrnYGSR7lBSJ9tb5W1DFtT6IPOB6xCPhUc0n27V8JfZK8a4PoTwbuTci3/VfL8Y6VzHqLyHaFh3aj5sRBaDhyBGyAzEU2Er4g10qcpkC6u2zbqfllELMqUxC1kEXYwsXM1GvGCeRRbBJmo6e2Vpty3yP0Paweu0TJ8C/hNZAO+r5ftOlXMzUq82ahkOU5mO0XtWIXWqAambg4EfI54zjRreYaQjEEzBNSCLrbZouk7Te75+n61ymudSD43nWc2zHSQ34MuRNna+5vMHEW8O8/7qrfm2Wq97QO9/lV63Xr8/A3w5xvhiCOFE4OvI1NE4lXcc4sU0AtEVwzUtR2p+HkI6AmIDaeFxjt5zJVK/Q/YqpQ+bSYum5Sj1X27IdjZqW4C0m+8gdeALncTTMYIazHmPAf4d2avfm1RJ2xDlsBbJ6IEka6gVqRzPAr8FbkEq2mjgFUhBvAUpFOudlyPK5c4Y4z0hhNfHGP+QyTFC778aqSRnIY0291qxnroNadTNSMN7CDkE5wrgvYhyfB6p6CdqGNYw7tTXESrrbeoSdQni1rYUUQTjkYp8nOZHD43TNoMEkpfJncAtxQOwCvl8NaJozVPjWERpno1ULlu1340ooDak0VqHAqKkG5HKGxHl/7YY4/ws/waSRlFLzX0yhPB6pFH/m/7/AuKPmluvpgx2I415Llq+ehCXxfEK/X0b4hnxNOLOdgHS2Fci9WOo5r+do1Ec1VnlzaebGhHlMEjz+n6knr0XWcmfjLj7PazmNaBaAAAgAElEQVTy90UU9Qkk7xgQ63kA0vCHIgp9h8r2MFIPny7IQ14vS9TRVyMHqB2NlM9C4AcxxsUhhM8idXcU0j7MS8amcw7TvLNDpEDa1QTgl8AdiMI/GWkrWzTfViPlfjbirni25scopK4+pnF9UH+H5CEzDukYzGOkLx3PC2nTsFci7ehO4AnEXXMUYvxsRupNE1LX77VDvdSN9r8Q3QHp/BxjPslFcCl6SJXG/c96zWtUtvFIh7ZL0z8NMZ42Iu16iuZff71+M1L/+mierkP010RSR9OIGJZzkTI/GTnw7B0q0zREVz0B/A1ikK1G6tfHkA7ns5qv5v1yHFL+9yLGxWOap48Bf4wxPhVCuC7GeDMVqIXyfgZRHKMrXLobydRBJLfCx5AedwNpA4ktopibobkC9kYqyTDS5oh1SOPezd5nD4BkmFmYQ5HGb4cBbSK531XCXPM6O8Sq0vby/J5y5yGUWnDtyiKsWQnF8LrTQ+BAEwuf82kU6N5FcVMc5j7a2XX7u7BVqg50Z3z7Srn8Lsq0CVGIB6tHViti7YMo1tXISGou0rm/D+nM+iFpXoHor0d0X8bIGOPaEMI5SEdxDdLGRyIdnLk9PocYL300nFsRJT4UyZ+bgNkxxv+uJHAtvU1sKHeLCrMN6Y0gFbApwRyzdkrNk5WaWy3Og+aKrfhOdn0s/GcKtFj5utL4X8pGU5ShM1kOlJy18BSoNzrzQtmXNBU7YOh4KBR07k3RmQdJOXkOpryvlSylPGUgneLXRtemjTcgI5kWSh8ytS9YOW5B0txH398UY7yn0s21UN7bkcSsRKzvMcjw6OVItVZGKaq5ptZWo408SoVbSdF0pRHV4tpSv9sRo9Bxkdumv3IFtoOOi47FRfGdpNFZRIbNtqHMFhn7lbivs3wpyrEvimdf6k4+yqtluXV2bz4izvP9YFX8xTpfjZFj9+Vlmt+zr2ktdV+xHv0WWVPYDcw7UAdT3Y0sEIwmub8UhSyHNZT8EKuuHiBTHEaXCr+a+xsL30vJXS6/ShVoZwcClaMr5VFNr2vz0aXCNfdFk7MarxlbjS96MlSjfIpnsBTlD+xdXkdmn3vQuaujKe7W7Pp8pFY8M/xbhfv7Zf915jlTXHzq2cm11bAv3iZ2/nOp/7oiQ1fuNWu+mO+5srS61ExHFz2btrP/7Qykzlwe7b5KlPJIgr3rfKmRfRE72z7fVV3tveVkK6YxLzebGg7I1EwPZIq3qnhqYXn3Aa5DzgoYS8dFDZCCXIIsTJyJLAgcg3icPIV4dRyB7ExarPffjsz/XIu4IZ6FeLTYYTnXadi/QKZnXqXhNCAN/o/IMOfPwP9FrLJfIwtEJ2o4n0EqpJ20txw5G6EXovR+pXKdgViAtnByBGK12RAq6vXmZG9WUbO+23Z0U5bbEeV3ErLoN07DtcXeiHQk/TWt2xELMT9ca2gWdwtJSa9ERj5/Al6NLGJdqXk0TNMxSON6WD/PQzx5tiGLL7YmYNbHLpW/h94/NEvjL5FzMlZoPvbWcPojC0jLNZ+Ga34MUJkPIVVq2wBjB131JD2wwBRFI/BJZPFnDOK9cqyG04QsXn1Tw5+OLD4eksm9TcvGXAXzaYgfIZ4RJ6ocs5Gy/gDw/5MWnO3YBUgdjS2q2g7jFr1uN8k91KbrzNJqoeO0iB1ZEEmL+i2kBe7eGlYv0qJaf9K2cJOnknXXVSwN+QJlREYw25AysfJsQupcI3J+ziqkvp2O1N/FSNt8CynfdyLt4E/Iwr7V691IvczPES+1S7G4gN3Z9JVt0y8q4TysvM7nYdr0SmdrWnbsQjXk01otem8fxGvnNGSOfWCMcWKlgGpyMBVgB0G9GnF3sdX5ZkR5vhmZBx9JKvBRiDKYrdeeiRT2bMSr4wxkVXagJnARyUK3w1tmIwqLwv1LkY5kLMnNbjfJyySQnuZihwVtRRTD8cBH1KPlJMRN7s1IRVuLVNTJGucjSKXM456p/51McjU0DxN7H4SsUM9DvU30gJ4piKvdoixdYzTsPL2jkZVtkA4JkkfPBqRTaNLfhiHuUbM0nj1zaepBQuYdUW38IAryLKRx9tP83ImU+VqkgztD07gDWaSxnZK2wr4nrylBCGEQ8si6CxHPmqFI/bFOEpIVah2jNY6bEC+oy5EO6Jca1k2ajmUq9zFIp71Ov7ci9XIxUg+HI94QszQvn0Tq4Sc172OltNkhY3pQ2WSV6TqknpqHxwmIJ0hPRDluVzlGarzfRfZAPI24MHZWTquQzmgrUtcHqaw2BTVb09vM3uW7DlFik5B69nsNpw9iUA3TMLdqfvXRa60dtWjaTwC+hhgJ1lmtQtrcxiw/RiAeIyOQcrVzbZoRQ+l3SD3+T8ToWqX5b55UPTVtZvCYQ8R/A/+gebRNwz8WMSaWIbphG2L4DKT0E6R2I+15PemsmJUqbx+kjKYhxuJXNayg8gzRNBxJOj30EFIn0Epy+70YedrOJ4GvAO+IMVbcRFerUwVfA/wP0rCWIRk5kuSm1ko6+tK20bcgK68nIy5Bo0k+1YM1DLPkzO/4RSSD/gfJzBMR151+iKLorzKYJ4c9AmqtymINrB2xCo/Sz/3oOJdnw/w2pPLdjqwgH4X4Sq/XeMxi7qNymRdNPjVgj8HaSTqo6lmkYj6IKIdjgUcRBXO2pvlcDeNp5GCbnoiFaHGZJWFWZAOicCZrHo/Q8F9EFpE/gSiqF4FZMcYvhBDuQCr3RKSSmQ+2zW1ah/O4xjmS5F/cr5BOs4RaSQf9LNV02sl8k0llbHncilgt+UYmKzcrq3yBOfcwsd/yRajVSP1aqendhnS85ttuZVD0wW3R/BupZWKdw84s/iUalpXXXC2nxYh73TyVbyMwKMb4+RDCFzU/xyDPatyuZbMS8Xay8zOGaBmuRywwk3EXyeNqHjISuArpMEaRjsvdiCiuqcDN+vs5yIjoWA13raZnPNLuhmoe70A620akHgxB6kkj0i7N/beIzQ/vIj2e0Nq6Hd52GNIGGjTd9uSYQ5F6lE9R5GW9mY4jNQvXRk9B87CHymjWeSPJFfAuZORpU2JWd0zuFk3ncGT692dAe+7eCXuMiI9ontnpqH9B6sMe10e99hZkRmED0oHZ7th1iPHwW/3tCkTvLdL/RyNG4B3A/9oJiJ1RqwcQ36Rh/RjJkNOQnngoUkjbkUazAKnoSxHXmxFIwY7X6+20unlIwh9BFAdIxfxHZK7yfaQzcf9Wwx2AVOC+iAUwSa/ZjVSgrwHXIz3b/9G41iPKxYa97cjw5XSkkjUgjfMulXuC3mON6icaJoi1O1LzwRbGtmq6n9d0maLpi1gGVyGWxO2atuWIlfkIyY3xHUhjeifis9xMWmzbRlKcA5DNTNOQHvxx0tTCBqQho/lyoR7buRlRKmeQhvw7NL/6IA19IGJ5zkQ6S1v4gzSUtnz+JeIvvAOxjsYiFuOnEIvV7mnXuPqTTokL2f/FQ85seqJZ83QIYoldTyrXW5ARkm1QMstzOGmqqIXUAewgTVPY9JNZrKYAbLriX5H6eIHel5fX4aQjSu0IgIF6LchUgR3JaoZMT0QJ2yiwH+m5oK2aZ+9HfIzfiYxeByMW30Jkc8paDd/WmAYCF+iDo4/X349EFE4PZJpul+Zj0ZvFTnC0Ds1OSbSphO2kTV/fQHyY12mabc/GcNLU4XeAf0Isyq8jbedqpE41IvUyXwS0crGpuRGazpNJG81ORIye4YjS36avk4EfItb+0fp6QeO6phDHIYgxdgbSCbdrvt6M6JT1wMkhhM+oDAP0vqNJdcLSOAXtMEMIt5OOFJ6AnJDai2ScWH5HTUcPRMedgbgK2tHFjci+i09QDTHG/XohOyRbNOLFSKVqJz1EILdit5N8t9sL/9vxltawbIpjrWZSY1YIlikWh/1m99s2ZRtKR6SyRUSR5VZ5fph8K+lwe5vfs+sas+stLrvXrrf58+YsTFu0WJrFm283b8nisP/smFELN09rnj+Wh2tI00I7szjbC9e1FOLO050vKrVqGuxzOx3Ly66ze3dleVyM0x5+YXGafJsL4cQS8TTRsaxasmvn63tDIZxivYtZ/G3Z70sz2Syd9l/+gIS8zIrllZeTPYDb6lAbHfMoryeWR3kZ78quX6thbyGtgVi6rDzyOO2hERZvXl8aSZuzinls9TtfQIx0lCsvG8vv1kJ8xbbcnIWXh2V1IM+XfOHc6napsmtFLO0NJf5v1P9WZv/l5dmOWMpteu3GTI5WxNjbiRg8f9BrXiDV1Tl63Y2Idb4a2djXjui8vG7bkRmWPw2kh0DszPJ4JmJ1NyObxz6g4b9Yre6txYLletK0RqkV2nLEKq6plrwX3x+XtXL357+XuqbSBp2uUK0MlLmuq+F2972Vwugs7K7Gm1+fL0qWCqs76l9331PL+18KWWopcyWqOd63qPzWIFbxVGSa8UlkMX8lySmhB7IbeyYy+rPNfv+LuPr9AhktbSHt9N2KjMrn6bW2DmfOAVuRUfXfI+eE21RLBen33/JuQXqp01WY+0iPSLLeN7fgItLz5VaT9UYRWa3Oe+L27LtZxXlvnt9btBJ+r+/36bs9VMDOzy327nkYZr1vzq5bV7jWrJBi/GY1tiNPfsktgNbCKw9vUQlZiunLrbcIfJlkfVj4ZoGcrO+rOgm3+F7qVRyhmBXXUMjDfPSwOguzoZNwy8WZX7ObZJFtzT7/RuPaksVr1mpu0W/rJD6zIosWpIW5ObsuL4PcmiyWjb0vzv5rKxG3vTZleVWU1WRqI1mdwwr35zIsLvyWh7OD8vW1VN7sJrWZpsJ/uaWct838v6Ys7GK8xfjaC/duz8IvXmv17wekupDnhY0cl5VJl4X7H0g9XaLXL9b3laSRdT6iK8r6QiHONeydtqKesdkHC9vK2451mFmt7q2Fn/daZLL92/rd5snsZQ2c7N3m1vpmYRiDsmvb6HhvJFlTRSs0H6qYP+lifbdrbbGjFVEC7aRn0b1N3xv03Z5vmT/3zvLL7rEdmruRimKFAjJ/1oC4rpmcFo5RHKWYr3KxXCxdkBaoTCGaB07+PEubY/ukvg/W99wSsZHCVn03BWLx5P7fizU96wvymacLdHx+Kex9kmJr9t6WvVbo+8rsvxXIPK+Fa26XloYl+tnWBeZkcg0oyBhJi0JtiEurybKSNGd8f0HegRqG5Z2VNXSsfzn2m8Vdyn3M6oiFZdOJ1kHckF1n/9vL9kC8uUy8kNpUPgKx943InHLePkGUzmqkDli7AynvnaR57dbCf5DqnbVNSPXA2kmbxmFy2PW5EZPLCmLpbiXV5fw/89a4C9EduU+5LUiuQuayrX2Y3Kv0+g3I3P0RyBx8H2Qdog/JeSJ3lcxH1pbOsfpu7pwjC//D3ieFmpunhW1t3o4AqXpkUotpkymIr+wwDu4HFjiOU552Xh5n3+wvxSlQ8+G23cqltt3/L+LVYvfuQKaRrfOxg72MbUincwLSqY0kOye9GjdBqME8rfqxLkUK/zekE8xOIznb286lLcjGmSMQ9zSQnvEIpCe3ozK3IhbUQ4jVNxCZljkZWWg6GrGaLGOP1PjzXXa9SUM5EMvqDcjmmzeQVo4PY+8nqtj8uVk8C0mZPD4Lex2y+n0o6UyK/GwKaxCbSJ4Ptgq9UMNaqPlkfu/mXWEPST6CdLjNQA3X3MjMmrBFpzn63znIyvzxJPe2RsTquAJxZRpJ8nEdonmQby8vriHkFpzVG/OWsAfALtS4m0mVcSnJs6KF9Kin/AELeTylMBfPxZqHAxBPjKuRzVdXIB46E5GG8zTiS70dyVtz0yxah7lbZzvir3s6smj1ZsSy34n4eA9B/I0XaZhHIYum+eKcPS6rh+aHbbY5nJS3zaTNQzltyGhqAHJA0qlIHRiDuHyejBhI5sH0XBan7VvoS8dNMO1I/TGXRHOpLDVyKMpjXjHWhnrr62fIhjrbXNVOx1HJIYjH1ikkj5B+mn+lXA4t/5sKMq1H6mhP0tTVvyDun58gHdXbR/+fgewF6IvUx7El0mjTE9uRvDSreB2S7w9reBNJ5bgC8dQxhZ0rbpuzfgg5HdPcbs3fewh706hxDELa+esR77egeVZ9B7q/c95quS8CFmXfZyKuNotI85WLkM0F9+k1i0mndi3R34YjPQ+IG9bjxfl1uzf7bQ5SOeaSGtsApDLYRpUmzdAWZLGgCVEqczUe21A0AzlfeKYWzDikgT6exTWIpETuRRrYeRrvCUhlX6Zx2Cr/44i7nXnkLNYCXKzh7vlcIm/nAP308zzSppgVSMPYWULOFpVvcSGsQXk5FfJvDqLwH0SmeuYiw+xlmj/3Icp/tYa/RtNq5boTaZjmL52ns1njmIl0WNuQDT5tGq+durZF02dzpa/V9xeRevSc/t+CdDoxe++TxTkLOc4Wlb8NUYJ/p5/X6X82n7sI2TSzRT9bWC10rGsVy6tE+T2I7ACejXQyK1S+DZqnti7zdaT+bbU2ldf5wm+LuhK3fr5Cy+5pRDFuQRbk7Kzr3Zr2NqS+3k9y+bR8sfa3SPNnkd5r3xdkebSgIEsb4kL3IOnhycuRdmh+4OZWtwtxr10ANBfTrL/ba1chnnZN12mar+uQ+nYF0v5+gxxrbGmyPF2OtP3lGkY+x79JXxchroAPkNbtrBPNvZlsWmyblrFNE+VeaLYreQ3Qu1jGB2rOG8RS2BVCeCyE8EGkx7GnoIMozo3AbcArQgirEEW7CLEOf6DX7QSaQgh2GPykEMLNIYSfhxA2AatDCHchi4BGID25xPyAHyNt8pmNKBXbfbeetPlnPKIQB5BO9hpFmpf7tablaD1PewTSO9+istoxtjNJz/Hsof/3JB0KdTbiDnQIYjn0QqzU6SGETyOW8C1l8jZPn1m9u5BNBbYB4l6V5cQQwkykAq4CNoQQPquv7yHK4ctlwjcrdAhSbq2IwrUzj0chZThY88zm7kZrPvUl+esehVg2izRtmzWOnkil7Y0osEA6s6QnaYOQWWMf0TQfqXk7QdPcCylnW7to0f9tBHcy8KTWFXsy08oYo81rmxVs88tHIofg20Nmt2tYO4FhIYTbNV+XVFFeRYZFeRjITtJIbRDSZsZoXkVkN+BYoE8I4WF93wWsCiG8LoRwG7A8hPBd0i7eauMmytPIB2n6XiQdF9CP9CR7Uz6nIaMlm/8egJRzcwhhMdIORiF1ZSRSJxYjhtHaEMJIlfWfQwinaJ6BKLKTNO19kI4jP1ogIso1kh5c0iOEMA2pc2jYvZD6tRZoCyG8NYQwMoTwO5X30BjjXI3zRU3z1RrHpcgGJ9u0tUHrySHAh5EO7q3IyO5cleVBRHf8I+KX/eEYoz0IY7rm3X8gOudNes9cRKdMRka/EdlRuYTUtt6m8f4whHBuF8u2Zjss+yCH3b8XsQIHIJm4nDQPZFaSKW17Cos51z+KOL7fjWTGOxBL1vyNVyGK83cxxj9mcX8dGarsRrbnz0MKdi5pA8/piAVmZ46MInkZDCS58tg0yjJNwxXIjqf+pMPue6mMJutFiOVtc1vbNI4FyNNntpA6h8GIv2kzogg3a7p+F2OcVyZvLX2PIg8PGKn32ZTHTE3HmSQ3JnvYwFjSDi87CH9zmfAPRSrreqSR26aE1ciCzkaV+yiV4zNIQ7QdpNapbEGU1HNI+f4OcbeaiCiuUaRDwEZofm9BFMFOlaNNw3sWUdiRtDHJOhvzXjBf5dyvfbCG+Xuks7xI5XwKKdMW5MEBF2u8N5AeyGBWofkD2+7GdaROsWx5FQkhPIAYLWsQI2WMyv9NZPF0tcr8K+BzSN23XZ35NM82zQ97cEf+/MdKcT+k6b6e5Bt+IqI8B5CmEWxx3rxsDkfK8Uz9zY4shTStaGeXzECU3FmI4XYEaRrHRkY7NO1WloeQdrzak36Wk55cY9vaDyFNRUSkbF9A6v8o0qaxNmRz0xuQadVrNY1HZWFCmuKZj7SV3wJfjTGeEUKYre8zYoxnhhCakDKZhmxw2450MJdrGP2Aw2KMvUIIWxE9cR1Sd1qROm87vLcjyv54/b5Jwz4M1W1UWbZQw7NNOgQaQm8kEycglu+tMca2EMJRSGIaAGKMm/T6y+xatY4IIfRAhhPVVFK7f4u+nkUs28MRRXQYUtCrEeXUC9l9NR6pNA1IhTpBr/81csh6s8pxODJk3FRG1g8hvfl6jWM0UiGfQ3Yd9kQ6iBOABg1naJ4HVaZvNmJJXI0eLmUdWVFO/c2OKABYFWNcWwy7EP6hiJLtS9puPhtpRCchHcUo0lbtu2OML2i5Hquy7dkqnKdN4zhV86aX5rPtkDtEPzeRrP2TNP77ESv3BWTXYn+SdWIdYoc4S9S/HyPKchJpnvp0DefGGOOCEMIopD7MKlUmXSmvwn1jEKtsAjLauAHxI74AqRd3Ax9FFOrrgR0xxl91JY4uxP2vyHzxFaSD1TaRRqN2LMB8xBNjKGJovWp/ZQohnIq0hVHo1BUyhXMbYp1+f1/jyc+O0e+DkUPMziSd5zIDGf2WTFMI4ddIfbgYyYvNpLNt3oB0qEeRdslu0NcapCPchHTMrYi+aSR5Q7Vk7zMR5T0ceCNS/gtijCd2Od01srx7IUOOjyGFY4tym5AGfTxpqGq9ZyPSWB8Aro8xLgshDEF67FuRjO+TRWNzyb8Cvhaz8wQyOYYgFfVfSIsXvdnbioG0+6xZZfgK0jMORhRIM7KQcBHpgJ+BiHVxvf7WFmPcpnGPQBSR+Qx/lvRoOFskMqumF1IZNmpcD1oedJLNlr42RNmdhPTwr0QqlS2i2q6wdpKFEhCluQX4xxjjjArh98zTVuK6oxFrZSLlzzffpa895ZvHUQy7GLfK/BlkaDmmTDyl4gUpg5WIsuhQV/L4QwinIdvrL6ajVQnJBTSQDouyM1KqKq8i+tivK+j4GLQ7kI7sF0idz905zf3V5k/3PDYwdvLIvP1Bz/H4DB2tZ3uMX6mFTpvLXYFYpE8j9X4UaYv5dtKhUnsORwsh9EeMqEuREaU9X9Oea7qF9ACXgSpLE5IPTyB1ehRSJqMQ5bhe//+XGOPWEMJrkfY6KQsX0rz2SmQ0cxOiw05HymMLovC/i5TXfKR9P4+0bTMMvqby/YJk4FytcZ+JnKY6GCnrXoiRM1/TNQKp24fpbxUfh9gx52uzYPlTLbwbNZNORKwlc2xv1QL8LqJoPoMsVD2JDB3Xo8qQtIV1hV53BDJdcTei7K5HFz017qMQy8p8ZW1xwDZSPIwMeb6t1/yLht2AVKbiJpOYvZq0cHprXKOR6YvcH3mNhltqE4Yp60XIVMMS0kLVVZr+nva5TN5a+ix/bGhbSs7Rmj/bkCH4k4WwzkNGDKXC31YiXMtHG9HsIHUONmzeRTqpb6aGs0hfT2ransnS0M7eG0gqvWwx6A+a5zu1PrQhHiKtiBJcStoV9yLp2ICNdPRHLlVOz2n+3athLUeU0mzNo+u13DotrzJl+GqtNzadtF7TsZnU2a9AvDh+qvn5OFJHtyKW34+RjvAm4OddjPtGRDH8GlkDmEHaLGJ1dDdpG/5WRDkuRUZYC0hbu/9Emk7aoP/PRtrZXzRtVyHK7Amk3T2BuNPdSdqMkh8PkR8x0IbUs19p/piF+yyiK76g+diodeAuvX6J3mvPxrX1LWurNhW2BFGUtrh9JwWdUsi/ocgaW3GzUAuikL8GDNZreyHb3O/RsrPFdzsGequmyc4n+jHSCYxG2mbXyrZGynsh2eqyZsi1pMn5DYjV/CPgKzGtGC9CrJiGmFbE25CeaCNwcyEeW+3O47LV/CeRBa7NyJDUFi/fD2wv3L8DadiPaaauJG20+R99b0Z64vkmRxbXIpX1W4iy+i3SEXwvKyhTGo2Ie9WPtGItMvnpuIJecpWZjh4DC5BpmSmathc1vUU5W8qFyd4eKJamBzWMe5HGtgWxMmxH42/0fRbpQcqNWblusrhJyttW8hs1jjuRQ4uWIY15t5bDDr1mG1JXTKnMQRrKdP3+AtJwLX2x8G7x3qnhjtbrd2rZWJwNwCWkTWDLSJ3PgiysFjrWtQWVyqtEfn8VOTjJRgJPkjaKLCItZq3Q9L1obSovy8JvC7sY9zs17rlZuhq17uwgWfimUBdrnthU1otIG9/T/vS1UMNbmH1fUJQRsdabNX/tjJHm7GVl34y4mm7Xa5cCTSXCs3gXIcZDf/3dRjQ/RNqxjQq2I53nbqRjnom0o4VZni5AFo3NQDBFa/prIbLYfyYyBWcd7yqkrv2FNEqyUdtapMO3ztF2uDYhnc7DwJ+LurRavVsrb5NNiJfIp3WedSzSq5iVOJC0G+/dIYRbkaHOcmSY8jjsWRGPSK/9PPBGXUU+JYTwR2CHrlyvJGEr6ofGGG/U+68i+YC/E+gdQliOeMSsRYZmC5Fh0HSSZ8FGxDNkE9KLnoIM1S7Sed2jkZXomSrrBYhV/kaV44Ma5z2abjtp7rWIH7Idp9qq3gPzq1hl3uMxoPk5KMqw8ylk2EUm5yUhhH8DNoUQliEr6X+jr7eV8NTJw7cHOw/XNCxBFvuWIdam+diPRyr2Jo2zp97TT8+5AZkK6kXyjmjROMbGGD8KHB5jvJI0NM49TvqTzj/+CVKeZyKNxTwc7PF7u3WRqDWEMB+Z+liOrD88hSx6z0HqxgeRKZiewJAY4wOIMg/IcPoZxAraGUKYQzpVsV8I4bWar2v3wSvg9THGf9B0XoOMIrcgirSZtKX6eXSxNYRwJVJXZwDbQwg9QghvAzbbe1fijjH+BGkTxyJ1aBGS3ws0/TM0XxapLAMQq7WHvo9A2nBzCOFLSPuxExkPRerBWtIxySD64Gz9fDbSTiYhbW0eyeNqjt7foOFO0P96I8ouBDnlL0+z+bWbb7hNM5yq38+KMb5Lf7Ppiu8i5XkxooTtXExPhhwAACAASURBVPLtqlMGIPU9IJ3Vr5GF3p6I8TUKKauPIh3NG0ieZcNJp1H+WeVag7SDUxADoifSOZsjwOFIR3J2COHKvIyplhpZ3mM1sTYksqHoNpIfp/VKNuRYjVh5zyNW+ijNmLsR66R4Ml8rYhF8HRiaxf0AoqD/iPSaj+hvDSQXsuLwzOa7mzRDtyO963zNvCf0tw+TTgqbq9f8EPGo+SgytFuHWDVNyJC4GRkqmtVYPKNlO9JJrEKGd/cgLkiHlMlbS98oxOrdAXxR5dit4eXz3OuRoe2NyPbg3+vre8BlnYT/Z03L44jl8YyGO1vTtkDzp1HLewHlpyDMWrtX0/YnjWM6MlrZiJxGuRupI5tJHg4tiDXVrvnbTsf8K8bVTtpibRakeTp9HVnc3Y0sVpkb6Hb9/H0NJ99sE7MwbXSxQ/N1XqXyKpG/s5Gh98c1nt0a10dIymsbUueLabQhv007bkRc2MZ1JW79PEbTMV/rUbO+NyL1sI10kp5tEjMLudK0lnlX3aZlPI80emsmnROzVMO/nnSWiOmLVtIGGps6taM1bC1ng6bBymUpyavD5H0AqbsXkaYsLR9LTceZTnlO82mOvj+p760q/6NIBzUP6YBu13Kz4x3MP/1KUv0zffAsaUTzVCaTjTibkfpVddnGWKNpk0KFGYa46D2tif4LMF7/GwF8rHD9GMTSfhaxtI7MwnlzFfHZ/fM0s+5HetZjkF1yg4DzCvecrvJt1UxbjDSkdSRXoPfqva8xOUrJivT2i7RCbUEs1Q0azjLE/c7Omf7YPuRnHufPkSmKFzWOv6gMHeTcx/AXaLi7SEPodfrbKq1kc/Q32+Dxb+XKtUwci7K82a5h2jqHKTVTmlFl2YSc3jYCWQP59yrSZOVr9e89SCM3pWAHk20Efq/3nIgsFtW6PbwNacj3IwbLbzRNNr+7Dnn61Aiks7qj0Jb2vPYzbltDsmkpU2CW/9ZhrtH8eTvyJKIRJhMy+rpIXyd3Eu8RiMvgWchI4yyko2wldQYLNO33IW3wasSAMO+jPWnW8F6DjKReAxxRiOcrWr/eo79fRFqPakVGFqsRb5v/0bK+oyDzM4hv+zOIG+CjyIhvelYvc8VvO2Jtp/dbkfo9k703+dj0XCvp7Pt2pNM4Dnh+X+pWLR+DdhLinXEOMvRtQnr+ecj84knIUMu23NrCwl6r5yGEzyKFeRTpkVfm593hUV4l5OiFKN63IIed54fMm1VlymJrJzJYOG+ko690xRXh7N73IUPVfqRHsVmhNmseVBVmmXguRTYFnI9UZNu8Yos3xyCr+BFpKHdSxlOnRNgd3K9K/P85ZAHJtl6bF1EkzffPZR+9IzT+tyB15zKNJz+4J2bvVq42l7sa6Vx+U0VdeT8ywhpHesJPC5KPK5BpgSEkS6nL5aVuhsciRoJNDRyPdIxPxBi3ZHXeHtrRpukwn/ilqJ93jPH5auItxq3xBERhDEbq3zb0sWRIHh5L2o1qHiPDkHbYj+RvbdbsTkSBzdJ8eQJZkxml9xyO1D0zbjYiesF2AG8J8vCIIzTdRyIGjz0LdCNSHieTjld9CBnNnU9qm9tIa0BzVa5hyBTgx5GpG/MJD4jxsALpRO7UOG5D2ukRGlYb8nCRi5GHUPwLsjb0X6TD0q5COqjvknYY207SzyNtZJbma7um/WQN/1dIPbgA8bDrWtnWQnnrnNH/QTL6AaRSHIs0PnsEmC3WzUR6xsOQhrAIUezPIXPKF+o9tk31SaTQLkEKfz6yWPTxLP5XI9bt35COQYX0DLpDkco6DLE8hiFWcdA4bTdkM6mz6Ilk8GdIT4EZrd8nIJ2SuXsNIT2HrxfpaS3NSKVdi0whvAvp2B7XsAcjVsO7keGtnWxYzF9L39EqwxGkg8DakcbxPaTivkXzYBmyDfzvNYwjkOmpi2KMrykT/iQNvx9iiTUj5WONrVHlvwKZI7QGvFzzYChSebeTHjy9SH//nsYxXuWPJL/uoaQOzjZnDNTPfUhz4Hbgj7lFHkKaQzTXw+WIRTSG9ISah5A6NAFRJv1IOwx7kxarb0fWJyaQ6kQDMkV1ETKt8H0qlFcpdB77c6SnRS1EFNUq0hOnfqJyT9Z8PVrTdS+iqObpPT+LMX6tC3FPJi3mNSBt80Jk1DiYtPi2TOMeiHS6p2peDCGdkNhCquM2nbFNZTsKMRh+qul8NWL9HoGUwRbE2HhW7ztJry+uve1E6t9G0mPYViGKdpDK1QeZIn0BsXrtNMlWpK7MQ9rtO0iP02smneZno8v7NA8WIT7ww8iesan5Z4bYWNLTjlYho7o7Y/acUqRs/15lPJY0nWJTR7YrdTiyKedBlXs00hFUX7Y1GhruWbXV7x9DhmobSP7GGzVDX6WZa6vUX0V6U1sRt11STcCVWZiB1IhzLw1bUX9Ew9+GdCCtpM7EzrKw1XJ7lt8jWUFY4S4l+SjPQ6yKKwtxrVZZv4E0hkaSZ4Y9TSaqLK1ID2thLSR5YXRYQS+Tt7nHwDKNbw6pIW7P5bR8Khcme585YeH/TvNrPelo0E2kYfVi0gKbzTXbPKzFb2W0kI4r+Zs0jh9r3i/RPMvndG1oaXOg+XrBUn1fonlQztvE4v2Ylu/ntBxXqKw2ZG1BOk+ba7Wdf1/IZF6o1y3K6t+iSuVVIr8vRIbeW/X1OGkhfzdpOJ6759mCeu8srX1I565U6+licT+AKOhnsnwvriXkc8K2FpHPLS/OZDFvjyV09PxYQDqnaAHJhW4IogvMKSCPz6ZSbDrth0gd+yXJDXdEIe8XqUwLNd/epb9/QcN6F+kc/vYsjjaSx8vSTG7TR/0R4+fTyELkf2sad5K8436FKNwmkuvnbxHr+xmkLtnc/Fo6HvfbirTZjchU4CPAt7N0VV22MdZozhtRXPOBs/X7XKSHm09agDKf7pnIsGgFMnm/AnhK77PNPe/WTFmSxXGtZtg5wNzs97n6Pod0hsmVpDMvPqjxf4v0/MGmLO5ppEo6TeWbpgX9di20Z7N0vU3v7YW4Gu5CKmcTaVfiUyQ3KFvUGKvXrCiE08M+l8nbPK1zgJ36+TmSD+keOUmuVj8BnsnuHYlUygdKha8yzdU0zUEavVXanZovizVfd5FGRgu1XHciZ3DnroJPadoaszjMi6M/yb/aLK1tpI4zkg6maiY1fFtAvkvz2t4/m8VpdctOV7TNP2M0Tjv86VkNf7nm4S5Nu4XVqP/ZSY1zK5VXifKzQ9pmI1Mz5mmyFJnjvVdl+HqW58cgbeqfSK5yx2hZHEOhA64Ut34ep2U3S9O0A1Fi20j1fYa+z0emJXYiCtT2XTQh0w+LkE50EWL5Ltc0rSAt/C1EPKNArOV2zf/ZJNfc+aRD4BaSpvqa9D/rQE+lo5vmYo13EdnBVFk8dthaJHl4vBJpF3MQy9h8vhdo2a5A1kn+RPLIMcX7R9Ku3Lfqdbfqf/9D2odgI22bvmvR+G2q1J6bGTXv7Qymo/MyPtDKe4oWyBbSEGwDaY63jfS0CevdrTFuASZqOGO0wHbQcRXaes9VSCdwVha3reY/owU0E2kQFl+pVWbr+c3DwXZvTiOtCO9CFgit17YV4t8gDWGMytKILGw0acG2IRaPHWNZ9CAwC3O7Fmynq8x09BiYQ3qI7NWkhab8CR42RJuPVM7N+ppPwVOnkH+zNe+fQhTHNA3r2ez9Of18NR036xRf7Vn5/lzjHoo08OM1z0aSlL+tuO8g+f22k/y7y8VTKt4W0gMknkRGeu2kRa52ZAs6yM4+6xzyMKyczAvJvBlWVCqvEuVn3gu/RuZAmzSMWzU/Z9DRK8rqpcmxEWlbWzU/FgNTuhK3fu5J6pzmqhwz9bdZGt88kiGzS8swf1JNOY+fHUhdXqyy3oS4YW7UNNpi8fc0r6/T79NIIzmzzE1/bEHWuCxPnkfa9VOk0cODGvdcxEvNNg7NJT1Q3M6OKeqfSDKmnkTat52uebTGNVzDsI5kDqljuFzT8oRec57Gf57GN0/zwzx82pGOYQGpTj2OdJ4NiBdT1WUbY20XLM06OUUTdiayYnsWUph/QRTeZxFlT4xxo/o2/jvpfOsPxRjvCiFcgAzpb0cKfzFyPseaQrx2/3pku/ZaksX9fo3vfYjiMq5DpiE2IPPkq5ACi8gQyqYCrkQa3JHIzqlLirIio4jPkk7IW4dY4mb5fQMp0K8iu7GmaLqHWR5UyNc8f04nLRy16iXvQxrA+xFr9t2VwiwT/lak7FroOJfejsxZbtbfhyALO69CRhqf0//fjcyF7/FTNTmyOHYh84BLSJbg4Uil74c0WltcDiRf8q2Ij/Q3kfnPy/SazSqPxWnz2VchHhyPIZ5PG5Cy2ECab1+NdCC7Y4z9QgjnIVZ8Pmqz4xlWqWwVy6uI7mmIiIL4/5BFs92IMpqkYU9DyvE5jfPTpE7leA1qCaIYp8UY27oY94NImzwWqcu9NO0temk76QiHRr3H9jFcg1iX30D85y3/1iFKciaSr6tijGv0+IFLSWfgjEDa5j+STmwciUxb9UEUZF8N50TEvbUJUWqrkPnoXYhBZAuWDyOK8DxEz7wbmad/QdP5fv3vONKTl4ZrfEORqZkrEQt8pco9F2lfc5C68jiiGxZqWppIB2216ft6ZK69l8Zv7rM2wrM1nFbSaZmzEN1h5wP9CHE7fitdKFuo4cFUOmH/aqTRDEUa4QZkLnUSsmI7knTC3iLSKWnr6LgifjQyZDyB1Lgf1evvjQVvicJqfi/SosH5yOLdYNJJYjtIjzjbjlTAh5DKMFyvNTlO0nByb5OH0Tlgk0Pjn0SqJL2QCnC8pmE4oljXI5V2IB1PFex0lbmQvq0kb4F1msZJyNCyJzKEfUHzfnJB9pKeOln4puTsYP+BpMOwTkaUyyGarvWIC97faPp6IxW8GelA7VTBO2OMz2dx9EIWZ6wx9EIq+zMkr4ZNmi47rvRwRAnbwqZtzLARXBtSp7aRzgCxx7Y9rfGfr2E8pHHa5+2I4nwlSTGt1DxcoHlwNOkc8YrlVcjbUodkvR9prL2QjvAWpDP7HLLoZ1NHD5Eew7ZI4346VtloS8R9K9LxvRfJ852IVbgcqTvjkHJZSNqheigynG9GOkrb3LIVKYsNSEe0BG2bhQPRmpE60wsxqMZrHM8jiuynSIfSgJTzCqQO5vV2GTKnbJ4rc2OMa0MnB68VDkKzxdZGTU9/TftzGv69iCOCna55GtKhHoq09yuQfQI3INNdQ5GyORPRbxchRpwZHk8i5fqfml/TkTq0FRmRTEHa0BTN8/9AFvOrLluonbfJa5DeeQCS0Y2kSt8HKazVSCPfgCjxZiSDjkR2MD2g138AUfRrkUzaSOqhFyAV4Ysxxh8XZJiMKMrrkMq6g6S0d5HOhO6PNPYFGv5ypICnIRVwJGnubTTSMzZoNLYi/GfEmrG5ugbEsjhJ4zwCsSIOQRT0QKTSHUM66nQwMuSaRRWrzJnHQG8N/7WIJbQVUXgzNOxTEUV2JLJp6buZ7NdQ8NQpEf44Upkt1XC3aVpGa5qvR+Z9rfLYMNS8QMxX+0ky74gsjsNIHki7EYt/GFIeO0inCr6edHZzM2keE8SqadX/m0hnkC9H6uFypCxvRQyEpYg1djppM8/rESVuBy4tR8rK0hlJi9HjkCmzZXTVK4A9I9N3k7yGrO58D5lvfw/68AGkowRRHjaVYLuUhyCHi91Xbdxl5MkPAjODqidikX4a8cIYgXhRWSdbPJQqXwycTjrC2aY9Jui9u0ieIls0/JmIcfFZpM4O1DjsaOE1iNEwkXRufSNpV6/5yC/WeI9C6sQupPP9MqKcf44YDT30HptOMb3wKJLfX0R00wTSE7FmI0bdMESvnILUZzPEZgD/oR3WhxBD5iGNdxRSh8/VOM0QGK9xn4y0/QaSN9zxdKVsazTnbfOrtrpsT5sw68g2fvxIC3AIaZX6YtLpgrZCPE0L6pQsjrGI5TOEjl4aFyIVZw5pl90u0q60OUiD60c6+H05aQeXNdB8Hjzf1TWNtKBwIWnFfjOiHJeTNnyUmj9tQ6yJ25CKZiv0e1aW6WSVmY4eAzZqsHy1+d09cmr+tJQKk4LHRCH86XR8Anhxnt52Lm7Nfm/KynUxUvnyBUvzjmjQ8J8gHYBUbg611MvmKr+h+deC1KOYvY/I4jyD5CURVbb2LJw8XivvtUi9XZCF1ULyPhmSfe6Kx0d/xGqzc8I3k1wpczmWI4vy85G6Ph8ZDZiHxzj9bRwwv4txP6vlZt5Eu+k8v23NYhdidM1T+VpIbnXLkNHJfNK5JnOBFRr3LOBc/XyeXjebvdegbD56M2kD1Vpkh/B2REG/MU+zxrVCw5uDdARfIm2Y+W/STuo8TbaO8q+kw6nms7dOGUJ6POANJH9z8zAxtz9beL5G77sSqevm9baRtPnJ1mPu1jBuR+ryNVm8VZdtjLU728S8LMwquhXZ+PACyRJboom6RRNiPeC3kYOpLkGGISDDlE3IIUaGzQW109ECuAGxQkGGO03IkNv8UT+FDLcmkjwYDkd69i2kbfQtSI95F1LZTY5+pKem3IAMsVeqrLs1rHdpei5W2VZqeDtVnmXI/OsRpHmwI0lTOfnnIjcAr9X8WanXHYU0Kgs/l9Mq7KUlwjyb9ATyYv6Zd9AjiJJdonGsQiriH5DKaNayzYEvR8r1cGR0BOmsknZN23CNI6hcTUhFbyf5/O4gnV5oHcinNDzbMPEWxAoCGarm7yOzOH+IlO8kzbNjEKvoQ/r/2hij+Y33IB2U9ZDKaGHB3s82hc7Lq8jtSANfg1iZaxDFsxupE2ZlPYfMiY9E6mQv0ogPpBx6Z+9diXsKYlnaxiPzzZ6NKBI7fXENyetkmv52GFJvbY3F1oXM0OlN2jxlRymDPKDgKYAY45OIdXw3YoQ0IUptPWldZTfSKR6LjARs9D0Y8fbI02wuqYcBJ8QYJ8UYP48ov0M1rreRpnfslM0mpL6OIT3p3fRQrxDCj0MIpnS3IHX94ypnREZkE5GpkkZkxNAbuEXP2vkFyeLuT3JwyEeoU0gjmk3IWpDRlbKtmeX9Gc2UjYh/9xZk9dTOKWhHGpH5t9o5Brb1dEpMK+JmGdi5BivQxx2RLPxrs7htNd/cE8263cHeK/d5r79ev+cn1s1AhsgzSWcvbNdMvpn01JApGtcM0iPEmpDK1I7MK5oCMgvLjiQ1T5OtSKX8f8S9eZicVdH3/7mzkgQISQiBkARkhwCyyaKobCIo4gr4oC8g8urjhjsgooAKKoiKAvKgLD4goAKCyBa2EEgIhOzLZF8mCdknySST2ef8/vhWpU53epIZnNdfX1df3X33fZ+lqk6d2k7Vdr3MlEYMTMdCo9Am0kbE0HuYkqdkdUIdZe8qyiJ1yuA3DS3mSdlnvX2vJySnBoOFS7E5fHNJuY6IjvB6klMNbh466KGC9USUg3+2ESdFyzWaXJrKJXOnmxa0CS9A0mxbNt+2rP+PZG3nNnRvyzeVaoPr6B3hqwL+ptqnH7/egiTHMURUj2uMjUY3tUSY2gJkF16MmN9k4Aed6Tv7vcVw4Hh0LXKiwWU2IcisJmqk5hKyC2POcF2TehnR4lTEOP+GNqff2merXa9FUnUrks6nlfXtnx6B4bxiFDJd/IhICfuszeMSa/tNe9Zhnqy9FrTena48sqcWBRa4YHkKMof+CIUW/5fd9wBaY/cSWTh3t7nfbnN5Aq3pq4h8JittrAutncdtXs2G31ttTI8TpqQO4Talro02OcwAeAKyZa1DAN8JqdPTiNqWv7XJLUU27jbCI74cHT/9PrLRzmFbh+X6rF/3qO9Bab242Ujauxn4IXIe7IoQ93nrZxDa2b2KiBdjmIek2wMRA+qJduBLiMRPPtYzrJ3BxIGTxQhhH7Xx722wOAP4NpKqPH/2crbjZS6LGLgG7f5ziCxoLyKm/C175NuIOUwgag1ChUidsvb3R5L5coPFRsIncDAixCZkmjkd2Wg/jxbMICQxPWP3LTUYLrVx/NH68GiZ3RBDPBpJW95XLdoAXaJ7gLCt/xPhsxuihfVEFsGdEL3tYv+fhjabe9Ax7y8ZTJ4mDu7cjBbnAch3cC5wBZGLuZE41r0TIbFuF18V4DvO2u2F7K8DbX5fR5FMNTbuU9GG2dNg1tv6dwlxIVZWLnW8BNs44IqU0mtFUZyLmI+r8iNtTnsimh6G8NCTKJ4wFDGY76F1NQJJthDH3WchGpiPHH8nEk7+wTa3zUhTnYrMXLOQuS6hNekaUxvBZDcaPE5AuN6HyCToia/2Rrg+wGDazcb6URvLTxA+jyN8J92RRjkQbSKT7N7RqbQM2sSU0rFFUay3MS9ENN6MhMmhhL+sSCn1KlR7dzmyALTaWHdGdL0bEd54tPW/ETHsY5AE3mHcQhdGm2xtsCgORkzvPKReTkDq/MkI+e8i7N3LEfBKPOJJJdOORaqux4wvpEIprzKPeitaeJ417WjrczhaeL2I1LSnIsJqQhtLE7I17ooW2TMIOafYfNYgxnQUpd77bsi8cxxCxkIi7LAOMRrP/9GCkJWX7tpuBEGFiIHVaFPrhcIv/xcR0nE2n4XW5mwix4T3UylSx9s/HDHtA9Ai8RStUxEOhtv3EUjTmI0W0d6IKQ8hckA7816OFrbnEDnKngctiAa0aXg4lR9/r7P+WhBunkC05InrVyGa6GPz7Wd9rkY0sBhFc+xrY74LbSC+CdUhOpyPGNoC5Lw8xq5NtHdvG+sQgml1NuLjSFS78iDEfP+ApLNDbd5TUNx8DRIyBiBmMhUxma2v1PkSbOV9X4O05A8SR8brEbPuSUTyLEEmnJFofZ6BTjx6KUGIkENs7O2W2bOxnIk0CA8iaEBa1wMoJPFrwGUppZ/b/QM7Oucs2mtikvNwBIrgOBrBsyfSWq9Ha3kSMjU+7OMuot7nlxFN7Y4Y/ylIqHkN2d4TorMX0foYhDasMchcW43MJm8RZtQ64tTq3cj8d5DBsEAHvg7c0Ty3eXWR2WSETdSPHvvpIk/f2ExU+3b1cDNxKObMrK0LiLAsPz7sppa3kZR5zHbGcqYB35PTNBHmGle9W4nqPSVjIJwVZ9r1Z9AC+BOhMp/ZTt/5s9WIQW8iHIH5waCN1vZ229zOPN9vY68mDidsQIQ1z2D3JFqw16CohhIHyb+B7wsIp2N7DkZ3onZ6btbHUYZrt4mWH7DIzSbNhOS2kTgR2BFaWU7kcfG3t+/mnM02jn+8U3xZf378+tvoCP9ZxIlNd2KuLxuDa3N+YOhhlBe9S9buduBehaRbz8C4PVzXIrPjBLQZVtk8HK71iMFXkVWeyej4JsQ4nyJMlcuJFLJ+0M/pYJ31NcfaXYc29KnWzmUG1/4o2qq2wridByyw+X6EyK65BAknDyCB4dOIIf8YCSGjbZyPUJpZtJ44iDbQcL2C0CJm2dxmE1kVFxK2/07htqsQ/jqSdk6y392QWu02pnqbwGftf/c+V6Hd3evOeSTDArT4Tsj6+KK1cyKZLY/wqLutLEdOMzLRuOfej7guRBvBaEpTkJYzhRXAF8v6+p3dv9HGPZnI6VtOIPU2pifRDu4n0PyodJW1266XmdKIAc834ePbZpwGnwabZ1VZWyVe9bL2/XSdLxKH33ojNPfMLyYWkR/P/6z9d4Vdm5/d/y7Djc/BT1N66JdvatuzZbvP4wLEJBoJh6d/fiLrcz/D72vECULPQePzy+30LcCfDR5TsraagFkZXKfuCF/t4HA/FEq7Ei1uP3m4OhvTg2jjf93m+TracOvJSq/R+RJs+yFTwq3okNOvra9FlObG9opSbpa4x37PRPTqZrOTkPa6CtH9NMPrVBvf28gU8xyy4x5BlJD7itGPnwJ2Ya+FEGw8oukpIq3yY1iqB2t7AVp7o1E+kzq0BlyiX2N9rCY2kAUG99+jAtDTiFJ9JTylDH5nEScic9ppMvhsFRCQEPswkafFn/G8KnUozHgDcVrcn+18eb0uYt7zKE0cc68BaKkNugYtnheBb9g9vsD/aYQwDKlqrUi1qcVKpmXtetjU/OzaE8gWPRY5D9ahE0suxdxgxNDHAO62phq0uLfYOFsM2U8iQq1Hu/ZconTbE2gTWWRj/ZG1k+eqWEskhndH4kPIy+65w+cjtXW+tbv1ewXY+vyGGZyXoEXhx7XXVRhnE5FyM2+rP9uGCnr7z9kcxtp86okkXQ3IEV2PFrNrUG4DftFg5ykx51M6z83Wx1+tnzlEObVNxOEeX9S+QNYi5jqJcHqvsD52JWymyWFo7z8bXk4mageOJUxAa9Am7JvUKqJ4xLysrSZKaW2H+KqAP0/SthIt1jFE4i83/yQb02KiJOC8nObLrnU0TNH7vgadGJxIlGDzDTQPInDmtNLG4+kKqg0uW8vrGXw8GZX/npPBqDwBmtPKZEJbcq1iS0YHn0brdpzBo758zkQZtjlGMyPs+jHW3s8N3z6vehtfC5EkzufkMJ1P1PscS4T0tqIIrCoi9PF0w2ULctSuQuGJvhG6drAASfNu//b84pvQJvpLstxFncFtVzLvh9FONhadolqMVJclhOljPBHe5uFnzxhgf5C1tQUxgilEZMNfEcEvQTvybdn9U8s+lxmBeEY8z+znqrzv7lOIuMtWG9tbhqSJRDpZL0hwoX1u9QgT+T+6EQmE2pBd0VV5z2Q3npBmF9v7YXbgZaZUy5hKREr8jtgg5iKCr7G25qFFNx6Fp11NmE0uqdQ+ETM7ATFvn5vnU6lCjHsLUdHHtQuHqzNDj4P36IgV1odHtuTRJrMJ1TiXBBORdCohJuxSeW4uSUSUxmYksTYi6fIptBjbrL/elOY2+ZE9v5kIR6wmzHqeF+YvRM6cTkUFEFFQ05FNeTOSVGcYHMdYv15otw5JlEsMtouQA+4+JADcAfytu7t8qAAAIABJREFUM33bd+97usG83mC1majiM43YUGcT4XKthG18PlHV3U11a5A5aQ3iAUOQpH0F0qyvtDb2QuvsZfs9A9GZh4y2EExwNmKaTXbPEzaPIUQh7zFEtNcQtEm1EsnWEhFZ8w+ipuw4IsPf60YnbxHZNRfbtYnWxp1EeGue5bMNOb494mYTYT5ZY88sJzbrPOJuobXThDasEzqD25S6Ls77IuSI6Y0k3eFoV6lG6lcNkvpaieiCfyLkzEYSK+YRfxWpNh4/+nlkj1qNmMHtKaWvZ33XFUVxMrCmKIpbEHE9bUDbRBwMmIOQNZNQYzYSFdHb0CLbjWAGnyNqHJ6EkHRLSunnNtYau/c6G/8TBEN9AyHec3vvhwjmVcQIX0MILoDPJXPUVHj5/LB2UlEUnyDs2ltsrn0Jx93dyCn1W0LCGg0cl1K6r53265BWUo9MKW5SgCi0UACklI5CjlJnpB7n6yfj5iDif8VguMj6aC6K4kv2ea61OZA4KdlCxFcnhG83geXmFY9G8OIIHjvtOdI9Z8ftWPa3oijOTyk1Zm1DpEm4i6iluTPC30q0KU5BTlVP57sjfFV69UA0+SRaI+9CAkmvbLy3Wt+9iGiEZqRBPYyiZpzh/Z9O9o31607oJvvem8hbDlEAYT2R4mIeEePeD8Givz3rWfwWIYb3NUTXr6Aj7j9BWtP11t8rNp7riTj5kdb2AYh+zrB79yUKiRwKnFMURRuB48XIhNKTOK16NbYZFEUx0p5909o7l8ibfoL16Rkeb0dl7b6AcHOA9XECYraXoo3tz0gobUJMexXSxAvkuG9FG2xPm+dqhL/VGfzGIj40DG3Kdci2fj2dxW1XSN4VdvzTCLVkEaFuHIgkxoFEprzyklXtlkxrp6/ykmZzDRgjka3teGTzOwVFGwxEoUzL0IJ0KSsvTTUJ+BnyJH/B2hlYaazI6eUnQ52Z+o67CTktrrL5/C6b91YYdHB+GxBhuqmniQjjKxln9uwQpEoeAwzZQfu1hI/C7ZBLCPW5hjAnufnm/gyv/4M2qIHlc8v6cMna1ccaSm3crub6b5f2HjH4/RmZefbL+tqmT7alvxuIDdu1H7dFujZwgsG2Ik46iq8Kz30TLfw/Gr1NQlKjZ7NcgZxgg5EUOKYL12He92wkYDmd5/Z+15bcZLIRmVwetHH922NCmkMToUFNt76qbDw3EuG1+xKbzXZrhSJGebvh7tdow7nA8L/Q+nzW5t/unCjNrnkE0kZGICFsHeHXajNYLUIa2Wwis+gspOm5acRh7OcINiGNxO3hH7G+Z7wTmHZVbpMeaNe9HO1AnpfbEy8dgKQKCCnOmdwLwFUppcXW1nBkJzqGyOoGET/9KNsp5WVhQjchpupVV7qRSY72ckfqNmMoa+c0RMwFsq++VH5vO2O4DdnGfBcuCLNCDyJlat+OtFmhj/7IPPNpRGSeV8QPVbShhbLI+h5mv7+aUpq0nXYLSktizbf5D0oprbX/j0Aq31FsWwUFgvHWsy1+vf11lFUtKfvv3Sh2/VQbe0e0RCfmZsQonwKuTVH+q7yfvghPZyJaK6ePZrvWHW1uGxAddwpfJgUeihapJ8n6IHH4pI6g+fyEnR+CcfPbDDpZVq5C3wOJswlb0Ca8mEiodhDyFbwfSbae18RPBpfnN3HmVI1ME29SWkJtFyJuvAXxhFGYFpEswZflWgH5Rs62viESW+1KxHnPQBvdMEpDYV8ERqWUarNEaO9H0vI+hKYB4dxcigSCOUiD3ogiTKYbjK5EleK/ibSjJ2g/s6i/vp9S+k1RFA+j9fk8yq7qG8mpiI4mo7W7D9LIn6AzuO0i5v0QOujwT6Syr0HS2CNItVqDCP96ZKe6GB2Q2IJU+yvRLjYcHajwE5L/QNLWYAQwT7FaUsqrKIr9UNzmScg7vAZFVjQiCfpCtINeau1chlSesciOtQIhYilRWGEwUnW/nCJ7YHe0SX0XLSJX15qR5DscMYRd7dpCa+9+RBhVBo9JSJ3/lsHtPOBbKaUT24Gvz284shsOJ1IB9EFH17+MiPsSREg3AefkbVra0/9JKb27nfZHEiqj2zUn23iHIMLvjtRhiGPO30NSfxtSqz3edx3C77cMB59CC2q4wWezjXlfIjGRl587zD4PQvbIIxGNnIUW1RjEdJ+zz7+hqIHVBE3NRPHvdyBaeB+xiPsTgsYWxMTvRPS2jkh/6oe9LkIb+dnsAF+VXkVRHI7spacgGlmBGPUYxOzeMDhejWD/brSwd0Gmw/NQPP88Ol+CbTCRbGshCnsbiWA6gKjAvhytvyloc/4hYup97PleNl7Pvuf+KTe19EDr6BsEvb6J1u0yJHh9G+HiRbv+fqKEmb/qEBNdhei9J5LSb0dnJr6GmN8rSKK/AdGVC4bNyOTWgGijm/W/M1qvexDC5Ey0EZyGoj32Q5rR7khw6Yak9ZOJOHgIzfQRFP7YDTHokYhGPdlWNyJ8ujei9942xyft2VqD78V0BrddpJ7NpbTSxfmEqp+I/ALTgCPtHvdSX24Tc494K6HmnlLWj3u7877co/4KEXpVRcRT5w4zf34lQuw4wuvvKrvn7nD1fqmPg9LybuMQMS20+z2RkZsCXPpstWemGbLn+fgpK+3UDmzziIFlxJFbj8bYUmGcTe21ybYRKN7+v4jj4PWEduQ257Vl82sjMgBOA5Z432SJqezaauvjYSSF+RH21qx9b7NSyOUq+5yANIn2yqB5v+cb/v5ERL/4AnLTic/RIy/ctjkna6uJUlqbsyN8VYC3J2nbYnTiB8LyUMVkcPkLEa0xN8dl2bWOlmDzvreGPRLH38th3Fb23R3tG+35uRncPdLDD9vNzX7PKR8jYngriUpJeb+uXbxt/49Bm8g9WI6RCu15v/OQoPYLxPzutfa/QJiBfD5OW54kzqNJHKY+7uNQnc3voFOwNWgzm4j40tHIBzcd8bc/I5PNznZfFaLvCUhDc03Yo2o8jvxUFDc+qpyXdpjvdhHzHo9sRVciCW0aMs7PJA7JjEJqwVxDzHIjrHXA360dT8jv3t/l1t5IJAXXUFbKi229+auRbW8dkfynwQDmu3mTAXw94dH2AzseUtWMtIgl1vZQRMR/QFJeX+QEbECSYz3hlH2MsHP5IYIf2701Bpf7kKayXS8zpREDMxDD7I7UrEZEvD7OKqRprESq8OvolOp7kR2wJFKnAvxmoMUzBW16tcShCQ/dWpu9W9GmMcbGtYbIeb2IiI7wdKPTkNS8mUiL6oep3Anp2ezaUH4J31Q9YVUDUeTY8dZM5KV+wcb2L0Qrr1g/OyNJsw2osbmPIzaHZ20Mk4iNdr3N72yD65gd4audtXEwWh/HG4ymEGr+U0Skx0yjlfOI/DLryEqv0bkSbOMJH9Lx1tZbBKMca3CdbDD2UMoliLbXEsfpVxrMf4IElhUEo6o22KxAp0+x+bwn67sNaUbTiWRwc23OzUQSO994ZxMb3Q/yOROpF7bm+inrZzKSrpONdZO1sdb6/K3heh5a61cSmTU9u6abeVxo2EIUSPcsnwnRWR726D4Vp9VJWTt5Rs4FNueNiG9sxfF/mnnvixiWO9Ly3dvDj9x2l+yeFUjlXQ7sYu0MsPvHs20iohbESEpKeRkCexMHXyYSqqeHj7kTzt9tRGrVF+zaHHt2DhEm9xUi/nS6fb/c+htgSKxH6nUDslm2GuF4BsDyAzWb0IJYjpjls1iVke0w794Z8663/o8g0t/mdm7PvXIbiqJ40t53Yg6SSu3bZ5XNaabBwk+M1RPhbfWG7wlsK735GBqIuOmv2nPexwAiKX4bkgbd91CemOqWCvAr78uZu8eeO53NRrQy1H47DNuIUMUR1k4V26by9UNIW4iNadaO8FUBvh6K+QIyf9Qb7h+1ficRuc/L5+jMwB1gXlauoyXYyhNT1RMhoc5Y6ok4+ioiBNCd95USgpW/G9G6uc/ox3OPbLD/NmTt16Hj5q2EJtVmMNmcjaUJbQoOhzqisK/jxbXeBYgRrzIYTSN8TL4xVdLoXCv7pT0z2O4/lih32IJoeSqR9nYk0pI2ETVSL7R5XmHtLrbxefbGNpvbG0iAc7pqJHwCHcZtlzHvMgIZhAz7zyGb2avA1fbfQKxAaXZ/uUf8C3a9Q17u7PkXDZEzDen/haSBwcCDZc/80sbnpoIFRCB9qxHSHHv2UR9HpbESXnTfXT064zm77hLbNnPvIDzzPp3AN2WI/0L5ON9h+x77WkMUA15tBNuAFoZLTD9Ei3NVe3htp4+pNu45RFx6LpG4xO0RJ/OIRTsQMYXZHZiT49fpz7WH/ICIb9At9syBWHHnLl4Pj6F48k/ZvD3i4kGDcZXRbk/7PzfNDMrf/0bf70Mb4VzijIELV/VE6opGu1aDzAGzfVzW3qHINnwacOh2+t0TMcBjkZBxLMEAq9AaWUacnE32fyNKzXsDsv8egBx+eyLb9efsc8+sn6/a+FuNXk9Gmv3frZ/pyD91P9p4FyFtvvwQUZ5d0zOGdjeaa2Tb9AzuP3ATbGHwfYTYcPzehuwZH2sbotP96YSpJH93ZVbBQ5DD5XikovZAu+AU5AQ4BBnwPUFTDeE9fx0tHveIX412sqHIwO/OlNFUKOWVedSX2qWTUMjRu5Gk5x5ml6oceH7EdRwi1uHI3DMOLfgvoqPSuUf7TYTQqSk85Schx8sSa3t35NE/HDHWvkTlF7f5NRoMlrMDL3MeMYAI9AyDS08kxZyECLkHIg7fjPYhYmVXWz/bROpk7TdYW72IUC1PkDTS+h9s8xuJcnMPNvi6s8iZ4zpi4dyNHI+HIia8K1GtZLjhaIFd83MAx9jYmxGBDybiySEiS3Jp2e3anod8OTJvPF8UxX8j89GrNt6T7Hsf5Ox9l/XvEtlGJAT0sfG1EHHlHY4KKIpiN6QJemKxP6CMmR+z+TyMTBHfQwxrF4JGV9h8ILIKdqYEW3nfv0J2/f9DlFtbghinl6PzXN81yI7cn4j86Gvw8ERifuR7KVrnT6C17AnRdiJKl3VDJpHdCB/RREQbR6KDO4eijS0vPbgO4eNQoobly2jDO4kKideyZGtHId6zJ+JJBVGNyc02c2zc59v1/Q0Os9GGvwptGMfYHCegdfIS22YW3YXQQr6KTMV72HjfhQSWa+y/U5BgNxxtSr+gE7iFros2uRIR3zqkHtagxfY5wrO+wq5PQzt3PzTxeWhBfx0Ry4OIOSxDxD0eIe0Moir6NqW8Mo/6bYjgRyCCmWLfd0MAXmufs9EuPML6GowcHrvamF1SupvSMmgXIw/49djum1LaXBTFGYgIe6MMdZ5ithsi3sloM9gZbQ5+2OBGOuBlLosY6I+IYDgiyPnINNIDxZUfiqSr1Smlj9vze6JIlJJInQrte6RMYXNbkd0zgDgu7MzeD04MQnh0e7Tnk9gaHVE2hxrEJPxglG+cHpZ5MTLPHGP3DbL+PPyzxWDtXvxaG+YShK8hiF6qUVrUWuv/UJvfCuTQPJio5PIYsm8fRhxeWYbo4jREL3+ks1EBAb9T2bYM2p+QlLg3SqMwAjnNWu2+WqRFnISEhr3oZAm2To7xt2ij/V+0Bk5Am1c/u6WJiApyc0atjW0oEhgeQuvpVCSZ7okY2FoUWXN9Sul/Lcrp+0Qd1P5Epas5iI4+hnDu2nB/JBT1QnT4Mlp377c2XGC8yq7/Bm0ibgLy0Ee3S49C9LcA8ZbDiXJtUxA/+hrC27uIMmxbkJZ/E3LGe2bR6TbOkYi2RhAhkj2trx72/VG02Q21sX2WzuC2i1TDrV5b+z0UId9VIrdFXkdIT+6lPgwRgHvE/cTWRqB/1mZh/xeURmm4R92LN+QHMeqRtO7FALbmRqE04b2rOLldzOPA/+bjyPpy2/kbhJOuvkIb3s5Sm/tce3sURokHvR3Y5hEDzcRR9Nzmu3WcDqf22mRbddHbX5LBr9w26DZljzDJJWzHq58+dIkm9+Qvtj4WETbcHdlRy1XUhDa/POohlX16v0MNv26O8Qoxlezm/p6CNoi5WVtNGa7K6a6jER/dkGlrPtqwFhHFp+uzMb2EpLG5aI34p8+1F5F3paORLt73v5DkPYUozlwJzz6WOkrT+3pisqYMNvOIiA2P/JgDLHA6I8oiDrD/nyDWnPfVjBiXZwCtN9j4kfQVWFm6bF7zkCYyFzHf5WgD9FJlz1KakbSNSMv6MBKu8nGX4LYMhq8ZHGbbvY8iZl1nc3wauNXuvRIx71FoPb1EhBK77f9BJFB8Ln82x3FH+W5XHY9vA1qLoniP/X4A2Z3mEmFZk5H963ZkWumNkPQECo86ANmr2hAz2IQkIX9dbP+9h9JSXvegnXENUtdqkFPRF8ZEYGBRFL8Bmoqi+AuSBDzsbjGRW2MeQu4cBPBfoR307qyvf9lcTkYI7Wv3bbFxuOfc45hrCbV0CHbQoCiKC4D1RVF08+/twPYe4GsGn4U2r8OIMm7rysb5HqCxKIoHiOPfFEUxxDSkpaXNb4XfCiRJPI9s9CttHm7DfwQxQ8/P4CkFliC89kdaD8RhjvU2t0FEWTzH1Y+J8nieomAjkcEtoUUIUV3pZiS5pKIonkLHoP3zau8TLZ5lSMqrRszjy0jLaTV87EzYIpcarCYYbrytFqCXFQ9+j/23I3yVv+5G0miBBJqN9mxfwmEJUu/vNDi6k/Vy4hj5XvZ9r+xaR/v+BZJQ+9h8+yF6XYxoaDNBrw4ft83ujvDXC8H5PTaXnkRqBC9Y3YdYm25Gw+7b13579IWfbHbtrcnu/ZC1dzLC4UC0bvI5F9n7Aygx1XlI0u5pbV+PJOR66+dp63c3dE5jIFEE4j2IN/ykKIpZRVE0FEXRUhRFC/IXVKGN6EDEhzyL6kH27JeKoqg2OB9OHFLaH60lP+jVinxxQ1H0Sy2S6P3VGdx2meR9FloAGxBhNqFF6PHSnpsil7j8hOEGMg8rkarSo1Z893S7d0kpL8Kb7w6HGUgK9Z23koTh0lwrcUDBF9JsIgLgrwShzbPvWz3Cdp9nPWswBDmheg7hcmnPJcBNBHNs18tMaWKqaUSkxHFEZMfKrK96wry0gEiuVEVZpE4Z/Kay/TJos4kkPxcSES6V3i7peHREVVlfeWKqKkqjTPJokzcqwG97b2cCzUhSHI+cZe2VQduX8D+US5+tRA5t91VU7whfFfA3LYPvQINLlc2tysbYQERFOV36ONahtbWRKCvX0RJs08p+1xkNebTJBCLvuuPCD15toTSSqRIt+7XNiJbn21j/QEjCHv7YijanRmS+a7VxeBlCzzm0mDCrvZzBZDYyH71BZO57yXB9o7VdbeOfmuHaE46V859k93re99FEds2HkKBwo7XhYcr3Elk4v2Dt3Wmf0+2evxHH52uQUORareendw3awyTH0snyeimlrUlr/q1XSunZoij2QRK15xR5EYWqvQ85tq5FUsXdiPGQUlpXFMVjwOeLongJ2dheTildWhTF0SgG9mcI+fOpXMprQVEUPwKqi6KYTqTYvB05LU9FKvv7smceQwj6NCKYY9FuWIMcDLOJSI53I6Z8IrJ3zgCGFkXxdaSGDiyKYiJxEKEBxQGPQo6X0cj29UkkvR5n8x7kMNgBeH1+L1kfrUVR/B0xgkbkELwNaTsJxdbuqM1K7a9HDp5FSNLxTQ3r11MVJGRrvApJGl9CUuyPkNq/VSL1cRRF8Zj10VQUxdNAbVEUf0aE+y5EyAMQg/KkWCAV8wjr/2SEtxZET1hfA7I+90AS7R1Iyn0c0VRTURSPoIgDkOT+cax0XEqpd1EUQxDjOcvG0ZTNebmNtSP4Kn81F0WxP2IEM5HGuT8KQ/2hjbc2pbRHURTzkWZ2FbGpHGDtLLDxdbgEm/edUlpQFIWnS+2F4N3N+vK0D4k4p7AGMZ290Br5K4pW8VOnCTGh6UgLXYutTfOLfBhJnlORyWMNoo8GtEHsb993RzgrUECD29OrkdTtyc8eQvHV/ZE2fxfiLyciJ+EVCGe7orVwQlEUF9pcbkLreKaNqxfKw/NfKBhhqY17akrpvqIovp1S+nBRFBNSSu+xds6y8V5sY/2ofa5B4Z+tiE8sQT6a3sjW3Yros87uP97g1ZdwnP4I+fs+Q+dw26XRJgVilB9FjpajEHG8hZjc8QihHgM9DzHCl9ChBPeI/wKpNj9AAOnFtjUsN2T9ukd9JCJIR3x3G89eRIY2CFXNj93WE9L+Xoh5PIo2jnUIYcMQY15nc9szG2tvtNseSuQG34PI1FZNaRm0aYjI3O65nO14mcsiBqYjif48g8tUtEkcjtS3Xtb+IrSgjqPUG18pUsfbPxIttKFEno9eyITUanOeRpgAFhlc97Dn/MhvI/LQz8SiI4jK6cdY+z2IyI7drT13KPU2/Ayw/9dYX3ugTaU3EdPtGlwr0jZq7V2NTsJ5KoI/IQlpb6KgxWDEoDw5/uk2NzcNLbK574pw7oeCtouv8ldRFKehcNJGg+dDKOJjoM17FdrYG1DEUz8i9v1ltBYgKyuXOrhoy/ruQVRVOthvQczR/+9G2KT/gGhuJmJebyKcDLLnNiIGtBYJOwuIaI8hBN05Tj+BNqXu1o/7IZ5AG/MXUEjpN218Od0uRpu4R65MTypd5v0cicxOT6aUJhRR/u0wIrvfTkjC3QPhfV8kHCxH0vbTaBO4ycZ0GhIAv2b3fjuD5aMozvtQZLs+ASWd+xwSFD+DcHm5zXUdEcv+fRRddDTiT3uj0OrP0AncQtdFm5yJpJpdEKC3IKIfRkQErECAW4sWYSNS10q850VR/A8i7lWIwNchot8dLabemLe6nbFciXbVzQihzqD3sms7Eylid6MdD37WzsOURpvs0CNsz37V+vLIm9WIOfRATG03ZDub0pE2K/RxEdJmViPimmZtH46Y0V7IPn9HNvaLqBCp09mX4egy2Joq1NVQjwLxAy7jeYfREdn8ehDeeJdWIEIve1hfvYh8E7vY52B2TCvfRBttD3vG6dbNbVsQc3oXOrixmE7iqywp1nFEDpwFKaXxGc3PsXkeao/2QZvTehvXXMRAv5pSGtXZvrd3Lbv+FWQTHoXgdyYRoVGelMrNmY1ISDuQOFm8ATHPndD680iRzUhbqzZ4eB+DEYM+l8gI2B3Zj/sRlZc82sPjuufbuA6y8fwN4WZSURRHoc3yAEQvrYSt3k2MYxC870Ga8iEETU9DUXQfsLGfadcPQnxoCZK8ByLtpD/ib9fY5/9BwmyN9dvdYOPwfA3xuSMQfzyATuC2q2zebl/Na9OdinZnt+/WAIek8D67t7e3TcA94m3o2Hh1WXv7IslnAKVRGu5Rfwbt5m73dEepRyj0tes9rd9liLE1ZM/56Ty3Ob5Jll/F+roMLSi3Cz9CeKSdKNwWuBwR3E2GmLmEh36rZ5nteJkpjRiYTsT+5v6AreM0+DRVapMKXvWy9qsJzaQOLcDZSCp5GWkjYwjC34pXm9MBlOU2IaIkvI/5aNGtIRLVe94PZ/zubPZokbeIk6seldSfUPUTFpGQ9bkMmbk2I3PLeLu2kShP57huBP6vwWNO1lYTEX0yIPveqagAtIn/2ODrIXCTEN175MdFhosqROtVSCL1CI93EWXlOlOCrbxu5iXIXPMSkfK32vD3qsHrcSQheqTJLLu3CQkd89AmtsjG5HlNpiOmDBJKPBX0iWi9HI5oabPd76ecc1t6G1GjcjNi4p/I52zPVlubFxHpjH1NNNi8Vtl/dYh2VyMz0Ek27vn2WcJTyuB3E3FuocHa2EAUdFmA1YUl6t56iuqliLc0EiG0D1kbf6GspmxncdtV0SY9CEmFoih+bkCtt/9dNXukKIrzCC91G5LYuxMe8WQTHIQC7f3VmrWVSwDuUd8Z7ZQb0O7rEsHZaGc8ytr237sgW3cuOboE4UfiG4B7i6L4RtbXSITIlxEz+gDaiVcgglpN2Io9Jvkg5MDxLGMFpZ7l7XmZ84gBz/3innN3ZOXj9IXw4Qptlkfq5O27R3wFInrXmPYnpJ8zkFSaEANz6fcR+393a7Mb4cnfCzHdfYjiuusRPocgvOWHb1zNLojq7QOsvenZtdPKPodkff4G4fdNG+vJSHrvbjD0KCTHfQNwS1EUd9s1bwsiRWtOdx2OCiiK4nzEKC+3Oa+ydo4ymPWzvm4lopeWoTW1LGtquY3FPzvT91nIrvp5BJvrEd0OQ7AdjrTUk208pyMGPxBtJDsTNJ0IM5dLso6/vgh/AP1SSm8ApJTGI8Y0FplE+ll/Pnc/2VmPpNaEaGQDwsXTZXP2kNR+yLxzZkqpLzI/JWT+2II2YT8w+F7EU76ObN4et+58qCiKYr+iKL5XFMW9RVG8Yn6476K1V4NOdu6BzH+/RZvRs8DNRVF8EW16PQnfkZ+g9T42oM2jO9qcrrT5+qvDuMUA2xWS9w/QzrwOhZptsEltIpDsIWYe57sFMcpGMg8rIu5mIm67mjhG6xL+Jdn9W735mRYwv6zvPILAGbVLPO7tXmgAnZGNaz5RDusuogzUWdbXeCLXiJdBa0WLxaNlPBTKQ+tcE9mIiHK7XmayiAEkadTZ9y9aW+uJU2i+COYRybhG2dsjG46t1D7a+KbbPdMJr/5M+5yBmMtmg0UeG18eheCHNzw6wuPsvTzVFiLnu+e7aCA2TZe8F2Y4ayrrI2X9+licblqQpLUAmSO8DNoAh7/9vpDYtL2Nuqwtz7JYbXAdvSN8VcIfYmrTiINbM2zebyLm6pEQ9URqArc9L0DCzGKirFxHS7BNA/rad+97mo1/C2Kmm4ionslE5aW3iVh0x7OP0zU+j/PfgoSZDYhGL0AC1FjE5MYS2kUtckS2INpyrcqPoU/O8PgswStGIXPLj4jsoc/aM+8lEq81E8nWElFxah0RCunRTLU29wXI4f88Esg2EJqX53SUAAAgAElEQVRaQiaRRmQC8SycHonyRyLCaQuRF8ad3ssMxm1E5JJrlZ4I7Eo6WV4vpa6LNvl5oRJgFyDjvTs/rjMg3IcYVX+kAt2KCHgpcgrMAzCP+ByE5G8jVdsR5ZEez6WU8hhb9+bXFUVxKWLKt6ANZW8kZfwChf7sihB4OWJAn7d2f0UUbNiVqHt5ENpBuyGnxgeAj6WU5tlY3TzzcRTB8FOCYY9H6uJ6ZLt8Dkk03zX4uJllOdv3Mm+NGLDfhc3Xa+StRNLz1db3t5FaOQFJHlsdP2nbSJ0cfs1I0tpE2CkhJC13bnVLKX3JokVG2zwHIUnKTVfukF5q43jT+mgriuIUa+dQa9vt2F6ey/vB4PqWwf8fSGsqiIyQvdAGtRNanLvYvechU8ljdi0VRXFMkh00n7s7vk9BG+4PbU7L0GJdbTDeCTHwOnaMr/JXYbB8C9FZbyTx3oO0o942X89b3ss+e1v/Q5DW8hqi/3+mlGZ1sm9s7L4u6+3Tbf2uzfhYFhORKLcgml2IIijcEd+A4DcLbULzEY2fiPDWh7BZb7ZnTiYyg16I8H2g9TPMfq9C0nlfIpBgqsHnJ9bvW8hftDdaf08jetsL8Q8Ih/fVyFm9kUhEVoPMP3ci89VzRJ7yKTaWf1mf1YieqpE5t8XGeKrB6fPW34Ho5PQaZOv3mPc9Ea3ujHjLi0gD3tn6eQtFPd2Kyut1FLddw7wBrNNri6I4GCHmS4gYvokYaXekgi0j8ionZFt7uSgK93h/NqW02EK79kO76VpEPMvLGDf+POEhb7JrdyE16hi0wA9BC2MuocbWILv3WqRWj0DE2wMt/EHW/17W/u+AF/OxImfDA4Q3fwPyOM+yZ54giMA1gt0IM5BLkO29cvj0QQt6HuEY+o59fwERhJ+A3BmFV21l3kVRlETqlMGvG1HooQ2pudUGAxBj7wX0KIriecR8JyOJ6GhEmLm2k58C9T56EictJyNCH2Hz6EGpKgtaoM0I90ts7r4oWwgHqUvMi4icINch/ByMJKc3i6LwgyB9i6LYYvPxXO5+NH8+MqlMJJjaEIJp7Qhf5S/Xrl5DkUtrrN2PI1ivQHTlkTI9UaSE55TZ+kop1XSi3619F0UxBm1OL6KoL89d824Er5EIzocgRjMUbS4fzMb9fxGOfUx7Efyjhlibz9i75FUUxQtEIMEyxGR3JzSqF5Fw9DQ6j7AOrctfpJSWtDfBoiiuQVEjByKYXYjs+mMQzdyLmPMeaE1/AEWQPGzv5Sml9bap+3z6ofXTGzHojUhC/zjiY+uQMDENmWEOIdI9/xhpHUvRptsN0WY/g+3LaJMA+YgKYGx6B+kOuiraZARilqcTC6sHUVDWcwH0I4i/mXAWfBWYlOR9vgARr9s9C8KWuRoxlJJSXmXe/DMRQ65DwHF7Uy/rsxdhbtgJMfPdUNX75yu04yFaoJ3yAFQC65Hy/onSXh9EGoV7xj39qSfIqrU5jbP5bdfLXB4dYL8/iDSKoWgRuCmiCRHbvohpvJGNfWteiUrt2/j3J/IvDCOSYe1HVBb5MiLSnSqNl3ACziLw+zyl5dW8Wsla63Oi/d7Nrp1n/QwgzB3dKX25VtCS/bcJ4bwG4fhrKaUxhcpiHW39dCM2nNuI03b+8vhuzxbnqvtYhMtORQUURfERLBQ2KUnWR5Dt01XygYjmPSy2bzYGNw3VE5t0Z0qwlfc9EoW07UXEXS+0ee2OmODZ9vgGxNjdNl3p5WYIZ7YzkPS9J6IPX7s+/rXIMboQMdsXEb6aEV38jCg92J2o4OR2dTc5LET4G0zEnW9NvGbzPBZp7ycRG7G/ko25Fm2oryJNaDMS+N6wvu9ADt//RuarCTa+KUhwuxGtRTfBdUM09XOUb+g4tJm92+Y4CvHJ4YR5bJjN6SU6Uw6xi2zeflz0pOyal7NqRrvQAmDfFN7nKsJ7PpvwiDehQqJbvdWZjbfeni3PU+we9Z8SRT5rkFR1OOG5b0QxoQvt2rlICviD3f8kUgFHG2C/jMwEeV8j7Rn33p9lSPwzIoDpBDHfbXM/3Z71E2hTyTzL7MDLTGnEwPVImtiIGFHJOA0+DTbPqrJ2KnrVs/avtDE/ipjJTeiQiyf++aTBrJHS02P7GjyvsL7nE558j5LI53AzUoG/Y+/7kLPneSQl/Qkt8jsQ47zS+jwZSdeNiLm3ZZ+fqNDnJXb/uWhBXoEkynuQk3WDwfFt4ESDxZSsrSZgVgbXqR3B13ZweBPa0DYihjHB5l8PXJqtpQvs8077rzvSIsb75ztYowOAXe37YLR5fdRwcj5iXO9Fa/EcxBinIHqeisxhTYgRzkVrqxpJnzPsnvEGyz0Nj1eitXEVWpN7ojX6pvV1lcE5z/Hitmj3vcxFEvNEG/ueiJesQet0F8S0/YSq25Z/gZjhCrTmvmrtnY0sAdOQYObmzalobX/G5v8ZJFGfRdiqW7M+PLnZeERbJyFGPsru35Q94z6VOsR7Nhuc/ARw7xzHHcZpFzHveZQmjvkgsuV4+E6dIegVYHjGyOYjVaoBLdgFNtm/2ISPLOtna2Kp7Nr5RgzjrL9Gwhnp2c6WIcmiCUk5y4gCC24Dc6dMfpx/o43pyKyvCdn1+7Mxe/EFdzS5BtKKTASjiSPE85Fk5SWvtn6vAFufnzM0D61LRPa+8nE2YTX4ytrqz7ahgt7+i0Q5MDdF5E7JhgwmPj8/Qv2Kzc0l//mUznOl9fEva8cPLeSmlXJnZP52U9AjNs8m4lSgf/bK+jydKCztMf2+iNrK+nYH3GakmczL2mqilNZ2iK8K+BuKHHQeErciG0c+x41oQ/Pw0Xk5zZdd62hiKu/b85S8neFxe/B2mLujb47BZWt5PYPPvOy/+fbdYVSeAG2Jzb21rB+H/2oiZYQfsd8IrCufM1GGbQ7aQB5HgsUriNdc3Q6M24gkcT5uh6mP2ze2D6INpt7uz0MfuyNGXY+0GHfEzzJ4L0Ka6U/RxtZG5PHx965UFkQ7HoLaRcz7YbSTjUXqxQJkhF9CnIYbT+mpwlqkTtQDP7Z2dieKAMw2RNyFVMsaa+8pslJehDd/OrJrzTVA+/FuJ0Lf+dweOx0R8RgihGsSWvCTieoxXpDgQkR8U9DOvTuSLlwbqEMqZwty8vhi9Yo+MzNYLLb3w+zAy0xpxMAsROB9DSa++y80+LxtbblNfDwiZHfalETqlMHPJaiX0MY73WC4GC2iUYY3h4FH0dTb9zxGfovh2aMjVlgfk5ENuhZJHK3Wbx0RV+4RJ62I4fti900xj27xU5YeR7sZSawNxCnZP9szIxBzbkWpcrG5OqNyPFUTSZM8L8xfbOwuTXYm4uMl5BCdirSYaoPfWoPpkwRtrkL0NhrRup/+/SjSTl6gcyXYXiLi/z9leHiTKAg+3sYxh8ixXW9znkb4p5qIuP75RHHqtfZ9DTLRrUE8YIjN7QokzV5pc/waoX16NNRCg7cLVHcS2tsrROGMJ2weQxAdr0Vrtz677v2MRxJ/IpKOvW6wrUE03WB9vm508hdKs2s2EEx/MaLZ/pRm+UzIvNJCaV1S5zGeztevb8na3ISEmvWINk/oDG5T6ro474vQTtkbVcHYFzGMarRDbbKJ1yP1cSPy3L6CgPtTa6cOIeb3NvneyJv7EQT4Z4DbU0pfz/rOPeqN1sZ/EyFXkwnpaxlRV3OT3fsMIpC11tbehEPqfPs+CKlFBXBhSunn9qznZZiMduPNyOZ1DUJuG2FrG2zjeBWp9K8hYi+Ql/nn7cA2n587U+ttjh4vvwQxx4EGz7uR5PBbIvRrNMqrcl877XvM8wDitGJfg2Evg8s6dHDqKIRXH5P7NeoRQc5BC+IVJJmsJdT/ahvzFMKf4c/3sv+S/Xc9ITHVE07eLYiGvDjCSmvXc6S3GGxvR6GCBcph8bx939na+Zh93mXP9rT/1lmbLgjsb3Cdy47xVf4alFIajehlNZG3eiJatENtvJ4Wwm3zntJhd7TJf8jum4FO7nWmb1JKj1m/vW2uOyF497Wx+alF0NrYy+6fTvie+hksvJ3+CDeLEIP7GqLrV1BExfVIILrO2v86kjg97cVa4uCchyEmROPDbe4JOcfPKYqijcDxYsyuXhTFJkTfZ9rY+6SUXKt+2Ob6HrQGPa69J9p4piM62Z/Irnk+Eo5OIFIpeJqGF2zc/RCd7G39/ArR4rOEhtqI+MZsu8fDTX1D7G5wnGKw6gxuu0byrrDj34MYyOcMCL+263ujBTAQy27HtiWr2i2Z1k5f5SXNJhiwvm6fJyICOgVJfQNRdMj9BmiXXB3gLYjxrjKkjbN2BlYaqyHTpftWtJOuRMyrxeDghy/mZvPeCoMOzu+HRPrUpYiAGm0MJePMnh2C7HHHAEN20P4YQgLyCiKendDjfhfZ988hE0ZNhtf5yOE0sHxuWR8TDTYLicKwbYTZyuNwXYp5hciS2Nf6WGD9eF/b9Mm29Odltx4lJPW/YeYbe2akXa+Ik47iq8JzLyAB5Ayi/FgdEljWIubhG9lc3mFJrB30vTfwDcRcFhhOXdvcYp+updba78fQJlx0xZjQxvWIzXWm/XZzTiK04vFobV6O6PryHbR7meHNTXseJnorcZbiYZt/u3Miy65pn5Psc7LRZzWh9XnWwLuMJl36r0K29dxEl4isipsQX9hs8P6IPbfD0n6V3l0VbdID7VqXI0LxkBv3Lg8gpB2X8Dz95wuIie6OVMvZaGEdQ3jcsckuRguwpJRX5lHfYH1/DO14fsLRY7jzIN/c3jYXeZIHImniMcRc3PNda8/sSkjNo5MkOYqi+ArKuObZ2A5BIUnDrU/PC+F99iBSpvZlB17mPGIAMdEL0c4/FElpI4iwOT9k4iabRUQc7QbKInXK2u9DJBTzU7NTbf6HIELeG+HqNGuzkvaWiAMnLyDH1GHIeTzM2u5v7R5KVMJpIKT9w4g80h6/vaOXE3MzcTz5z+hE3a8NVr4ZHYnMBCMQ7jwZl7/cKeUnT2sR/HamE1EBFon1K5vPFKQNXYfoozvS/L6JnJQfRGr4RBRbfScyz7zH2ro0pXRPB+DQXt8/RebMTyHptQkxpjWIfnYnih2/gnDfC63rPkS2yUUIl/VEzdO5wJ3JJP1sDC+llE4riuJw4jBQK2LebyJz0HHovMW9wC9TSmOz5w+x/0dY/63W1+okbcKjpcaklN5vvz3Z2jEI57VEWoZPoE3sbeCylNJ8e2YmYvKnGyzWI0Y/ENm+D0eS8Uzr/0kkHOyE1kKNjdGdmxciPrELEig9suqLyHF9BtK2fmnjWYpo8/sdoSugy2zeD6Gd6TYD1jAk8S4n7L3uRR9KeHtLvOeIya9Du+VYZMPaE9mvnrH/rgJGtTOOAUjKvtIAP9P6HI924k3ohNaSvG/7nICiCI5Gi/kte7Z71n7u9d/qvbf/BqMFeRJafNNtrN5OT8JWNyprp8NeZu+TkLTvIE60dTdYXYWI9ZryNqngIGmn/ZK5VbhvLSLuxYiQP2vjmEyc8HRPfsnc2mu7vG/CvrwZMbxNSNLxwzLPEAc0WlCs78Ksz4mVaIXSqAs/XDLV7vUoiQeNRhrtv6FExESnowKsr4HIifVFtCH8EGmLNyOm8QhiOKsQY/HQuoQW+9GYNPj/8o0c4w8iJr8WaSz1hH/BP3Ph5+/IrLMJrflpxObdln1vtP/8VO8haHOZihx9mxGDXGJt/pLwA3hO+tuJ2PwF1t5cG4fb4P9lcJ5G+Jlco3N7c5O1e56NZarB+VnEq55BJuCRyBxzJArv9Nj4F5GAMByFjnpkSxXiMTsZvt3P14IY9GyiEpdnr/yztfNF4KUO46qLED6X0qrXOyPPuRNfiyHvkuwe9/YOJUpWuQpVbYjoWdaPe7vzvtyjnkd5OJE1o519QdnzCwyos9k2mVTexmYUr9mzrC93SFQjM4AfTkllb2/7DRS25kzNq3GXlHZqB7blEQPuKNzeOJvaa5NtI1C8/doK7Sai2rlXXMkl+614JYuOyObp1xZmc2gjFtGOokz87akFTqE06iGVfXq/breeQRTcqNtOf21EXoo5WVtNlNLanB3hqx0cfhgxkj8gCXMJYkDjEKNJNs4667PWfi+x/8YhQaQBZVo8qIP97l72ewLagJ5GzMmdhGuRM/wXSOi4Bplb1tqYVhj+2xCTWk9EVtUYHZxpc9mImPLz6CDLCiS5XmL3jrZrbt/O156HFd9ORMY0Ik3lVCSYzUP+Mj/d+bZ9biAygL6OaHWVjXETEf3WjGh2FNKwNyLNb3I7MNwRnS4i0j/8DQUruP3eeVC+2bUBi+z+04HGsv4qjuP/JfMej3auK5Fq8wQKjvcdsRapEPPRIrkH7dAvGLBftnY+ZYB91pDogfIjiWoWVwIvZH27N388snPPMaLZYMiaYwhaYp+riPpzqwhv9GYkSd5PlIcaY8h5ADG5t2z8f7Ox/sbm9rjN505rax7B2NYh5jXW+q9BC/E+RITb9TJTGjEwBxH+Wdafnwj0cT6CTD0rbQ6vo4WT5364rVL79lmFJM/XiYyC7hj8h31OIfI2NBBxtJ4hr8nGtoiIjlhlfTyBnNGLkWTVbGPdbLiqJdTOFmvbbYxNhDnEHc7up/ADX0uIE5yTkOQ01/B9Z9bnMqS2ul1ynb3n2nPTrK31NrezDa5jdoSvCvi70Z5bg4QGLwP2ChE2mRCNjSNy17yNaKYZ2e//brj+OR0PU5yUfb+mrL/NaH35Sd1EZOB72+hgkd03jhDEPkH4KGYiptqISYwGrzEotv6TaA2cSxScHmXP1Rnuq6z/B9CG5dEbtYan+Ugink8cZvm1jc03u55EbqLBBmN3XHu4bg2Rq2aa9e2mlLHAEhu/l1K7BplGNhBH8kchzbqV8Buss++/IEIGf2f9vkipwOOwb0Vra5x99xDEAyirfvSfYN77ol3MF5nvVrVosTdTGkrThBbmc4ag3llbnhzJiSXfteZTVsqLCo4GlJPYF7kH7zdlb5camm0MTYbQiZSWQfsKkSLVCyF81cdr928tg2afbchOuJRtJYtElNZajiTDZ/M2K8A2L4M2lSjhNYBIf5lLw2uMaG5DZoYn7X0n5iCp1D5RBm1iBot6SsuguTq8L1pk7UmxDYgB+NzKk4flZdBmE/4PT1DliYN+WQF+lTQbX6ROZ744fonMFe6U9NN+ziB7WztuB8/b9c3XF/waJOE9sz18VYDvdGTjn4aOS7uTdl9iI6lHtDYN0e0HkQnqMqDV2vmZz6MT63Jy9t3L2821fpqQQJSQ2u5Z/Xz93o/SGvi1Wrvu5qSU/X7O+hiMGG0/xGCfQHT+a8PJMiKCZzYRveP4aUCSeQ1ixi5oTUMay2xkWnDt9zWiHNrbwFs+b4O1b/yXUKodf9TuGYxMRJcR2tskJD3fh5zdM9FacMeum2z2JyTuTyG/Sh0SUk4h/AHJaKAVbdieuGoz4oEuIPhG8vH/KPMuI5hByJZ4sv0+15Frv8uD98s94o/a9Q55ubPnn0Zq22gD/j1EBe7yPseh03ov2L1r7F1lwHydOGY9x8dRaayEF72BqMP3G7SZ+eYwt9LcOwjPvM8phvTrjVjqbQwl43yH7b9qcxmHzEETibzlDdZ+FcF4z8WY4I7mlvXxlsFmHdKgmhFT8BSxXv/UbaXn2nfvcw524nEHcxpXRn/NyIznYaCb7Pv/EIu2IDsQ04XrwU/R/heRMTPXMFqBG/xetND7ADtXaGvvTvY9G9nKjyXyz4+3cTQhG64LKY123W3T/42YYh9ghrU3EDkPT7b/D99B/+8G/tu+NyLJdS5i4mcThS6S0cgGxMT8cNUw5Ifyk4+HZG2/zz49UsY3mPut3ZV2fXY29s+h9fN3yiLZsI0OMfUpRDhrT7R5dCOiRjwqZqU9k4jsi7mt3wWOGfb5DIqGWWttzERa8Vzk0OzeGfx2VbRJL+TEaUNOn08goulpA30b2cBORGpnHWIQNQhZQ1Dypilot38/iqE+GSH6AkR43RGB35gsQVXmUT/cAOSZ85rRTncOIoA266cZIai/9el5V9YgW2kfRDzLkTPpYLTQT7Gx9yXS2X4fbVb/QA6HBkSAA4mcGPcaLDxHxF+JzIKj7HMW8N2UUp6/2WGbRwy43fNDRJzsS0jCvMCu72JjeRNtML1tDEcgIrksKQa2vP1327MDbEzJ5uK2yQGGqz2RQ3E2kui7IbwOM9zsiaSSRcCnUkrLiqL4HkqIdLS147Hv3Yj8KE7s3a3P3kR62JcMD1XI5HIzkphOQRrAZw13V6FFNQ453g5C9HOLzXE34qhyP5vfOKSlfNjG9xSynV6KHNfPpZR+XY6Xjr6KovgXcHNK6ZWiKLojbegxJD0ORGvFc7XvhRb3esSUhiDa2ztrsiql9FQH+3657FIfBKtXUGTEFgRnLy6wFEX/9EGJ5Xax91eQUHQQgrNHb4wC/pGUS+RDSblTzkeRHyutSs770aZ7HaLPPkQEj2vhPRG9/gplTWwtiuJ9KaWxRVF4/vuDkNnpKLTWH0+WqMvuOT6D0xcMhqcjnvKFpLJpxxrslyLcXooiUmahtewRPk3IYfuzlNKhhepbvrsoCo+8WoPSPOySUpphCc/uAQ5IKZ1hYzrG4LwzEfe+HtHjk9b3lxH/uAFpqbOAP6aUmreD1nh1kXTxF8Rc1xCnG58nnGBT0Y5Xj1XbsHsnooV4f9aWe4ybCYdFm31uQBLUE9sZizsNPDHRaKTauVp4HrJJrzIELEdq1fNl7czKvv/V7h1W6d4KY5hFZEebb+97bM4LkTr5Vxtfh9qs0McdSOLfhOyFf0eMa5K1e4nh4Cngk/bMKSiDWUfaLyhzeGX/+VFrj32dRhzVX4OY4zqfE+8gSgKZD/zwzTzCHFNjNOJmKY8kqMno5eNZO9vtG9mk5xM20basLT8tugSL+HgH8+iDDo1U+u93KSS3NqON1+3tqXX9AMoGZCZ4AW0G/8569aIUg9BBnvy/PB2DO+N9A8+dqo2EKeEiw9OXiZDel+35mUaPLln/Dm1gg+z9IaSF/RJtolciM8QJaGPzjcUP2nl6hla0yR6GhId9bPwno03g48jxOY3QrHMbuIfSPkdo6fcSTu+H7PfhyAz5Q4P/2UThlfXZ+xFKzbk7I7v5JsKE4uYmjwNvNFg9hw7n3Af8ucN4/HeIIBvoNMSUPcXmzohhu3rgkRKrYWuV9SlIAv4kpsIgG1STAcMjUPzI+X6ECjol67svOob7D7TzVhuhuBPmjQxZifDkJ2KBzjQgLzVgeiGILQZYd0TsZ4heaXP8o813CSJKr0XnCPpw1pefEMzfLdk8prQDW+/zpyiJ0WNERZoJ2bxGEfZVt79PQbmnS3BVoY8P2/MXEeFsxyOJdwZaJD9EJ10PIVTUSvZotxdvJI6hrybU3EPQIj3IaOEGG+fNxBHw6w324ygNT6sU0ePHmJ3BNKIN+Q9I8pqa9XOHzfEviGY9cicPZ/M5tBJ29DHIPFWFNI5r6WDER86os/cE5LjdYHNutTYfJ5iL2/4HETUsZyApdca/sVZvQ2vq00ib+RfaLF5GJq05aE29D9F5A1E2sBk52f1kZEvZ2x2enj3yEYP3V9C6WIPCPr9InERsIRzdPvdmwhxSiwSdhATAgw0O7rx3f0+L9ddo/zVkMGy0ObhPzgXCu4CLDS4VQ2gN9v8kIkecJtZTZsJD2gBoA5yLeIoLjRttrFMQI/81EvJqMHMJotP/uMNyhr2H2IDvMcKsJqIP3Gn4EFo889ACmkU4sv5qRHKZAb6WyLG9r018EKVScS5pv2iEMI5IRvRtQmKoRVLvOqIostvLXGLwqIc1hIe/Gm0yYxCBL7T5ftfuv5/I1e1RD96uM54n7blqu+cWYK3N4VTglXZgOwYR/1UGkwUoHtg1k9dtHvk4VxLpYK9GKuA+WB3JsvY9GsJzrNdbe35q1GGzBTFhr9rj0vdsFA3RZGPLT6CtMBi2IDNTDRFa5g7B3JHk3vvcsZ2IkLXm7NpY+/yL3X+39Tvf6KCNLLkUEe3hC301sQEsQxvUaqS5eD6UFkRz5yK6XYOiEToT8eEMe5PBysvkjSKSiiVC01iGhAC/3oIYhVeV704H7P4VNozfEUnU3Habb7ouCbYgQWEcUcFqfQa7jxIncF2i9Zwhc4FV1vd0xKgfRJFabWh9ecx4G5FlrxGt703oDIjHui+3ey+2cbntfVL2bkCb9N02vkmIea4kNuFmG2ce791ISOuDEL16IEKeAbMJ0dM8YuP2jb4ZrbPvoHW2Fp0nqSXOCNxrbXjxFBfijkbaXBtxMngnOlOftIuY97eJ3XgccbS5mpBm6pCZJN+lP27Ie83amYiM+jsjtd9V5XWIwWw0hH4p63uKfc4xhP2JqE+4Ouu/gWAYyYDphFtLnKbbQqS6vI7SCJVWRIwjiEKrefkzZ0DeXi4h+o692eZTTUSfPAiMaAe2ecRAM+FY8URKPdsZ5+tIs/H0lLMQo+5f1r5L65Pt+2iCUbpkegxavH7YoBYtrjZKM8U1Zv0ng9PPCKfgHMQY6glm4NFIiYg8cZj93j7X2/hWEiqn3/MgYuRHEbQ3Hfk0PCqhDdGo5015Fi0yp4VVyKlXn8HXpf7WDFZ938HaWIrMWl9CWlydwfBim7dH9exOJEJ71eDqqQrcmfwGYvp3drLvi6w/FyqWEw52X7O+Wbomci9RQNc1RYeV00W9jesStD4nAq9a38Ps81jECxJi3pOJJFxudknolOJL6KCbmxqnGK672ZiP9zVBCIwe7eV5+0+15/ay3++3ebfaXFyTayOKI3j5N092NQdtBgvQpjTFnl+ATptuQRpqA9qwfIPwgz85HGcQYbV5ZFQLWsON1u4fEd1e+x9l3ga8ocim+hm0S12JVO/uQA+75yRDykhCVfgfZMfug6RRt9VzSWgAACAASURBVM+eakg/Bnm2d0X2sb3K+nXmfYP1ux8hbc4ikzYxOy4RtuVxzLcZcD2GdTPaVL5AmA4GIeI8CDkf1iLPu4c8thBEuQ+R4WwgIrweRhR72Vj6U2ZvbAeueZ9bDOGnEXGx55SNcziwRyfw5qYoj292Nb0ZLbZmg8UstNinEInp16JN4gH7b4jPiSwygjA7zcz6OjKD2WpE2I9SKnX/nMjw93vrewrhyDvQGQUqDotdn5n1/T7D7bNIVU2IJu9Gi7keaW//tO8HZc8eiJl7/o11sQulEmiVzfF7Nrc3gW9lTGkyWicn2uen7d5vIKfa+ZTlmO9E35OMhiYQkUobEb16eKeHaS4xvJxjn7cgLeotRJN/R+aPAVl/Iyg7WJfhpN6enUSYtd5GQlQbwfzcV/UsWi93AjuVtXc5Wt+fR/xkMZFbfiGRxtYPc+1l8/o7EXq4yWB7AtocJiNn+jLE0Fchk1ajtZn7VqoJ0/Bog92+lIavuuDZhiR3F9QaDRZVyJ7u5e0+g21O/38w7xE2mN2QarUILY43bJJuG74JZaYDMeOehshqe3so11ZpFHOyoSiT8n7/hIVVIQlgDpHFrhE5QvqjHf1g+/w9ccjD030uJiTnLYS6WosW+neQ1DiPKO7wKCJEV7E9hrfJ2rgCRV/8DhHcErRx3ZiNf5s5lc3vdCJM72T7njM4Tya0EUlL37P3pwnVz4tGbLPokc3zgwaDPJztH4RWshxJjq+QqXXINtoDSbhtiFF+2GB8DjIrnU1Isy8hCdl/r0Z29Bp73kPYPKb4ebvnTrRIWomEQT2Bc+z7OWgBDkab88uobNfAsn7+19r1AtL3E1rBn7Lv70XS6uFoUV6B8o+cSxau1sn1cayNqzxevQkxl15I8uqwzfMd9u3Sn2s0zjhdkp6NBKonkR/iRWRL9rQFx5Ix7E6M4XhCc3OThp/FWGz9LjM6fIDIh1N+SnT3/BqKlvk9sl/3RoJFnc13KnHq+D2IUTYancygNL2F05VnUdwT0W8d0kAOsmcWI57SF0VovYWY9M5EyubJRm9+SPFVm+daZBKbRun5jYr+rv8I8zZA1xCHb/w4rWcKm4qcMR7f2oRsR256cMD1NwBNIexpbt7wAgu/w7z07YylnoihTQZYtzO358F/ES3svbJ2LkIb0J3Ia3wNkRP7ojJi6l42hu/YGPwo7kZiQ3DHxxSDi3vg251ThTnujtT+cTan5WVzco1iGlE0wp10R5S11YcsrhiLRLDvI5Dn37WFI4iTkouy96uUOhR9nv+LGPCv7PlhaFEcVN43YvzdkRR4MLLzL0UM/0/2fovIdpibavyz2eY72eCxDCUp2xrxgTQ6/+5tuD/EMw96SgC3k/oGPROZaEZjRUU6uU4KlMDtgbLr9yCh50NIUPDDHc4IPD3BRsN5p5yllfpG9P01JCRdh/xM7yWSxO1PRPnkG85aQpo8HSulaG3WGJ5OL/ue33MV0pJvRuFyee6gC5CA85rhyc08icgo6f6WVsRojza8LDD8nY422QORZvwI7Ref2Ih4w3WEQFEpc+g+WJZTtIn7oaF5SOv9J+EbWoWF/CHm3UD4lBrRpjLfxroCCVw5I3/zP828Z9qA9yaOmu9ng8u9vi/aRN026fbi6YTa6wDYYsBxieFlxAgvxjzEGYPZKftcgnZhD2lyB4FLF01oQW8iYjx/hBbvi1jsKlosn2HbMmgD2Dad5N5I2t3T3lU29jsIG/ANRDhaq43xLsQgSuZU1vYITG1ERHkbkfvBY8TXUxqV0EBEJ+xOnIA7EhjXTj8uofQkMjEOtmtD0aIYiCRElxg9E+B6QkqfaribjphtjxxeNp/d7PNIg/EvDeaPIqK/ETGJuwjnVX7yMhH2areX30CkBj2YOGXnp+6+ap/9kNnlQoOPS/u+uJLB9yhryw9YHQbU2vcP0U5ytO2skUuz78MQra1Ha6E++68JbbaTjI7qkFnnDnvmk8CL73CdlkjO9vsDSEr8CNqYZ9s9IwzGi4lThans052VtyIzzxyUosKP9bv0u9zvycZyNhHNMj/Do9uDXSOoRsKQRzCdaHCZb/3VZf99l1jjLWgN+snhG5A55XVkNlpk87oH+WWezMb2EbSeP5Rd60Y4NP3QUIv9rjbY/QJtIosNLluIyLV1NsY/ESlAZqJQ3vnA/tbWfzy3yTR7d7dB19okPJmNmx+WGxA/QtS3fJiId/wKsqe51DoeSQbN1s/CCn3PQCrMDGSXW49UvkbEoB8iDtVsDdEzQllg/WwgJEd/ezjQXLJybJSVEkPRJ+4Uc5OPE59fd0b3A4NPKzC0vTlVmp99dwJ36f15Io52NyIqocFwMQtJnbnTc0ZZ+6cagbkKm9sfmxEj9cW62ca/JBtHCxFz7TbtjcSJvp3sv3mI+SyzNnLvfyWpKGcUW7L+fIxVdu3v9rmcMLvdY/18h5Bw1tpvx//6rI9NaHFNy347I/cIh+6UMtkd5prPmbbBYpjhpAXR3geyebTYPW3Z/VNs7u7XmZx/dqDvBzATAzJnuU+mzsbh2qzD2elrEUHDTUTdxQajBxeEHJZ+orERMwOizfsKm4fTi9uApxD1Rj9L5LpeQqQxbrIx+unaJlRQI4fNFGvvo8hM1mY0MJSwM5e/m4goqQbiBKZ/DkFC3Rn2Ho2CKGZUeLehDcPz2r+FtNNZBq870bp3G7zn4HeLg1ewOhWtjxPpxJmIrmLe9xmCl9m7Ce1w7pxZbojx2NYFyD491ibZiCTHzYQE/iUjjDGEg2dxhb69QOwsxPgnZ5/uiXYP/mobXytyFPkuv4k4SFCF7PRu61prY78abTB11vY/7d1qCG6zMTsTn2nE8gH7fgpReNSlkopzqjQ/+77FkP1NG5czHw+58zm+bf+/wQ4KXCApZKR9Vttc3yYkUj8c4fPZgDzt5dE0vvk9TMShr0cEvRjZjz1czw/TeI6HGcTx7EZCcppP5MTYQvgUViANp80+k43P/RW++V6bzWO9/U6oGhIEA7rPxt2K6HgRIdVtQpL4QiLjYF86mECfMAlOQhL0EhvjJ21sbxEM07WJ2+0eT9q/nCy+mw7GeWOOYvvuxTqmo7XSRmn+Gj9087bB4TqiOIlHaTUgLXEd2iB/n72vtXavLd9gUGx/i83f14cz/luJbIIvIe10ufU3jzjP4Ez3OqIA8iIikmhvIt/JS2i9JbuvBgmCvkl4zPcmIr+Kp4leSMRkewy54+VtopDIQrt2reHJs5pWEWvFcev/uaCyGTlbuxMCj+eXX9dRvttVZdAuQ6aHx9Bu6wlcapCkfTWSkNyMcVxK6b6U0vsMeJemlNah1K0rAVJKdyFCW0HEh75Woe+lRVGchpBfh1SXxci8sLwoikHWxhXI7HAeIo6/EWE96+3aIGuzN1KTjrR+eyEi2h3Z6b6FpPxbCEJvtTHPQQhaommkMcjrPdrG9Qxy/J22nTlVmh82hm4ppVuRaWARMi2stzEfgZyqv0Hmh0eAn6SUvGTZBiRV5K9eKaWZNsf1SCsaiIX4GRx6WN9z7Vo/xIznGgznIQI9FG1oTyFauAdJLzUppRnAipTS/sQG2svG7ZLfLjamNuv3Y4iG+iCTip/gvBZJSGfa5/EGzxsRvb0bMao9kbbTAqxPKV1v7W+xT2eOlyFzWavN4V6EqxuQDfr9iPkeZ88lJMl25jUMs7cbPP9l8+2B4P48kQRrIZKan7VxXI3MkP8simJPBOOOvLoVRbGrfXeG6YVBILSYPDzTN14/xv62XXemeiIqRHJpSukb2ft64NkMxi/7IFJKs9EaOB9Jy++1frqhKJoeSFreH9HDAIS/mXbPIejE8p3oFOdQIr9ILcpZUmXdNRisL7S5TUDmIad7T8cAsmv/AEtehoSiWuDMlFK/lFI/4nzDdISb27K3a2n9kJDUhgSOQ22sxxjsXs1wANr8/4CEwPsNRtOQafIxOvrqCsm7bLcfiCTKRTbAq9l+AdyJhL11WHZ9J7ZTOCC7bzgilDcIc4s7LP0U5+llz/ySiKVdlD3XZMioRpvPQIyI7LlngFPL2qpFi9ITWU1EzMSdTjshyaZD89nO/DzOvYWITT09u28f7NBBJ9t/CzG5twxeexJOY9eKXGI50f77ONKaqtmB2SeXwpCE+6A9t9hg7odDXEX3GPOENtj1RHz/GrTYXHL2z2OAY/x7ds3H6RqKn8b0w04eaz7P+r2NKBt3TDb+it87CN/VyCH9PGE+bCRyja9AlaGwa+/49GSFvs83erwU0fx4G08DYXrzlABuwtqCNo/FiN7vA27pgrG4+cNpYTjaoDy3+XQiemq+4eQp4NAdtHs8kvhnIOHlceJU9wx04OopIpGcS9rlfqt5+Wd2/SyDxcEGlwYkIF1r9HItoeVtRoz5TzaXnxFpD9YQaRfuQAEEo5AW8+A7gWlXJaYaYRM5E+2iLjm1GRL+YYB8LkVCKU+O9FHgqZTSEWVt7o0Q90J2rSGltFNRFNMr3H8oCufZB+3ei5A0PiGl1OZ9ppSOsL77oh37YWQX/xrapRcgiXUBkryGIe/zL5IljCmK4vGU0ifsuycSmosW4l5IHfo92knXEwnvF6Jwv51QzPEJKaWPl7fZDowPRZEf3W08K1DY5busvU1IOrkZSXXrkdT7a5QLY5ux2+8zEGENRtLdG0girkYS6TjkoKtDBHcyIriHkETTRhQS9peHgfXAytqllH5l5fLOIwraHozCEwcQp2CXWp9HIwlrT2JTHY6Y8RnIxHUG0ug+RuSE/i+0UH+DFl4fhNvD7BMk0V2OnGbvQrgeixjr97N53G9w/ibStrohJvgxFEExqRxP5a+iKC4uu9TX5tYXmavuQjTYG21MdSmlq7Pnr08pXWvfz0kp/cs/d9S3PXMAsgcfhPBRi+B9KEr+5geXPObeN9TVSEB4PKX0XN6/fy/va3tjK4piXkrpwKIofo1yf3do/NnzJe16/+Xt2PVpRLK1nYgY8xtt3qORrXpcNu5/orXVDdH1s9bkWcQp4EVoY/9GSmli1mc9gu+4lNJwu/ZptEb+v/bOPdqvorrjn52XJIQEEDQkQOSNATHYQPGBUEqVh6hUV30UFVqFlOWL6mpS8QGysIK6qlYU6VKkIkYr765AA5TI4qVACDERCIEk3hJqCJArSW7e0z++e9+Ze+7v97u/e3MTEjh7rbPOnHPmzN4zc86ePXvv2TMMMfYvozZdl1Lav3h3LPDelNJVfn120gy+bxikEf4+8nZYsfhmKGIcMd26vnKsRj/4+4Bni7IuIXsflMcNiCn0yN+Alr/2oyzjfj/W+3mt47+0EQ1ezm3IZ3QyYsT3khegtDQY+buPkjdGCCkgdi5Z6GWuarfMJjimkuNSzEWqknvRxzYVMc5+0d4m7pVIYorg8rGsei15pedSZDQ6jQF4R3hfd69ypLlRszxC/RIhZu8kbxLwpkr5Hy7yB/NqpMePeBsRgKirLHeQ/p93tXg2u0hfWJ639VHiRfFnehytaKu+21d7UPjwN3qnxDkQPI3oRoP55YhHLPHjNxSx8JHAEUbgn/r5TrRg6bUVHMeQDaE3o5lklc+cXbk+p93+GCzJ+wmAlNJBlfsb0MizAY3woR9ahfR9m5C09P6U0i7+TkKS0AFkD4eAMWga152/AS0bkIT4USTdvei4goY4B57XlTQU0nlXSmlkMUO4BOn1n0DGkK8hKfdIJP2NJ+/5dzjZiv8UYgDjkFS+DOnOD0fS4xqki//PlFJVH42Z7eN4JiBm9nq08m4sHrsjpTTZzB5Eo/8FSOo4KMo0szOQVNcLj2/w+q9IQh2Fpp4REjZmUSFdP4m8Wl5LNjqOJS9hDkv/EDSVxfEv8GcjHe0hSNLfXOBKaMDH2yvChq7x96LfZqEZ3nwkud6NbBM7oUH7+2gwvhkNHCDp6XPeLpPRTGMqmsEcg9RjHUhSOhN9Z53kTbUPSSmN8/ZanFLar9pPA4FCkr4QMYyLnJZ1ZH1zhM99yut8U0rp0UblDQR3eV083hv161tROxzp9OyJvhHIBuc/opnMfKSLT0hdNQFJ+K8m7+P4dCP6Y3bhNCxCs/hdEOOcgoSQQxDvWI0Elv9B3+oEL6ZX2WY2G/Xzx5FNZBz6ltagQfg+tqBNzezqlNIZZnZOSumHfeQ9J6X0QzM7x9voLqf9sJTSd4t8J6WUbm1WTg8YpBF5BmJqv0JqkM8hqTOCGz2MfvzP4iMP+lk60A+3giwxr0PLop/EXXAKPOFX2VHcKyXtS5CkG0ufNznODYhZrvfzCj8uQdPI6x1vSOXXI8byLfTxBs0Pkd3cQqJ9Hg0WXYhxh+tU6BXD5/lE8uq259BH+ozfX4SMeY3atpwB/MHLC7rCP3m8t3HEhAhXtGeKchriQR/RaWimsB4xvdA9d5DjNUSMhqVkb5C1SAr/gafPJS+z7tbfelmBYzn60ZaT9a5hjV9ET6l3Fb1XJIYHQLgI3uJ9uArpGuOdtUgiurN4typZlwtQwkU0Ys2vdByHFul9aUPH3+I/ORSFTYhAUbejwXgm2bsiPJxi2fgz6P9a6nWdi3auHzQpuiKJ3o7+neneh7EqMrxDou9DT97leW7xfl/m75Y0L/Xr6SX95A2IO/3bWOPHHM8/kxwn6BE0MM8o7t2CvDYuJcfFWebvneptvYy84Ud8u2vIrsB9tikuHdNbSv6Rn89q9Dz1lM4jz1leh/9D2oQVwGVF/m3uKjgCOedHaNX4UV5E3he/8gb9JfCivzPFjw2IYVzpx31IZzsTWFXB85F4t7i3AUnjoV+PHZk7yO5Ja9CP93E/b3Sc4RcaP3OsxIqNciMMZtA8F0khEaf6DM93ANkgE8bPB/3ZDWhgOIAspdxWKac73aBty/C3c/0DXIAGx1jJ2oF+tDle1uNoGleNUd4LDz13EFnn6XWIkc7x9JxK+mrEXDqQZDra2/EUpy368ttoX77lBY5FxTkGuYeRZw70DNl5suMLL6VO8pLuOIcb2fOIUT9PHmhO9jK/gZjPlzy9kp4BpzZ42zxAzwBDR3qZPdIDZNozvc3uQQa0X5OjWCZvq9eTd39aiKTfiM8xAn3fI+jf5sfVAeObyAtoDnlNxnNoQI3NPu5F+v5nncaF5A2ZhxfX1WMh2fC3kOyIELSfTA4F+yeyALCMnu6lwVTDVjSKnmsrSvwx8N2C1Bsri3cDT5fXKdZaHEFPulu2Ka7KoKLSoFik0+i537u6kucPiK982q+f9jb+TPk/bjPm3YDgh2iyRRKF1NzfvK1wNSqH7NTfEGflvMDTHdV3i/QCegfJiUUMG9DUfYF/IOEjvYhC0h5AW3bjJK9kPZmekvvT/iMMpPzYX3Ie8HTxQZ2LmGDstdmd9jznUnhG0MJLooLj3OLchX7cedC9V+My5Le7kRwTOdp4DJq+T6icxxTP4rwXUgeFxLwEMazYUHizp48hLwIryxpT3qum+9G+08jhHj5GT8nxEcRwkj9fhhjqRCRJnk5m3hPRoDyRNrfTK3BPR4JG4A4/+NVk+0C50Oz3SEgIb6PnyFLrRP/2lpI9dp502hYhd1+c/okF7avI0STDbzx8+tc7ncvRYB9M9TF/9payzgX+x/35yEobTUPfVClERkzuO9F/9FxBd9M2Je/hubnBkdCsOoSeDvI+r3FsLPJ2Fe92xLtoZh2B09qOc7K1mPex5KBS3cYHv55S3ve8ZzUpZ0rlOowL76riKnE2wDWlfA/5fJ8VuP38NS+n+s6UIn0eCuJU4r8BqV8e92eR54P+gRxJIWnTwBhTTVfqcB5wXJH+npdfldzvL657ld8MD/KbHe3nTxfpI5A0+EUkhUX6Mn/vQODbDdIXFn0bdHyvKLc834i8Lb6IPAAC5wlIGn83eRXg8modqBjJGrWt16lbYvZ+Cam9O92onej97fbZXw3KCUn6McQkFvoxCjGoifTcjKBc3ZrIM6tONJtbhAfWahd35bqRFD3Kr59AA/R6xEzKhSqJ3iqsUAOudtpCbXILkog7vW4xk53lZZ/q7bEIzQySf0MhhUb0zDvJzG45Uq10kMM7P+Dfxg1O7yJk31iI/ulEDq0QKp6yHkF30zb18sPNbwUaUE9HdpVNyGa2rMgbNpXFZDVg9OsT5NWpy+NdJI1HgLdN7fTtVmPeVYZLE6sw/bSe45b3dvM3wtkMd3/KHCj+VvXekjJb1XMwaW+3j2hgyd+C8rql4Qb1m105N+xXKhKzX0+ophv1U7M+6sc3G0z7JP+ZVyFmdoMzj2A4+5E3u/gGclP9AJKapyMXy2Poxya1FNJvcR1Sa0jRjyHJNuwZIY2+FzHTqWiGdz554dCtyM4T6zi6aSPvaRpRLf/en29ALotleywjM9QyNEMXeWZ5HjKcTvd2me70DnM815DDHTzqR+jmn0UM8s1oNnydt32ohEq6I8RHV+WIwSMC780rjrguB4TwvCrvRSC1tWTPqc3+7kpccvc+ajsE8aB4m0C318LHvaGqVuET/P7u5PjW3Rbq1Nv6fDLy1X2DN2w00j2N8jeh5T1oFdyuaHq9Gn1Yq8kxdXtZ8EtfWvQBTUMW8yU0sZaX71Vo+DHqqH3JBp8FSOJpaYFvB8xsKtKLHo6CCYFUQPPRlKylNb6N8su2IBV+vN5H30C+wjt7nVaTA+w37d9mOCrnC5H3xzSkCx6HvBdGkKf9IT2FobFpv1bxFdcRy/0E5KEToRJWIIkI2vCYaFG/k9DMI+wxh6PZ3DDy7jmj0X/RiVYbt+dt0H/ce6N6RnAxI6+ijetwiww99a7AJ7eUJjM7H/k7ryFL+kMdz/OoPe5GPCPofSCltKmNsociL6FD/dYwZCB/AXlgdZKFgIZ1MrM/In5xG/JU64xHiOn/OdKbD/V8LxQkLEYzvK8gvgMaLI5D/8b+SMKPci9APuhHe/n3ppTG91XPXvUeDOZtZtPQQgaQ98Lz6GM8hczIn0Ifz0ay+9P9SDc5I6X0dS9rJjkc5L5ILzgK/cCL0c/Znb8JLR9Co/bx6MccRnYRKqeIuyL9XjcNhdvS7cilbwXSE17n9H+wEf7KYopoj1cjSeBgxzeJ7HK3E/pQ5zYrsxU4jvOQemESYjogF6suJN3MRhISrWhvgSPa4kKAIn0UWrhjZOkiltEHY11Lg/5thaNyftLrtDdi2qsRk4sPdgj6lmLp/jBa9GsVX9GGXyWvIh2CJKEJZF1leCFNYoD91WB382WO61jywHAX8Jt2mFV/oAXutyNXyz0cf4TEDanwSfrBQNukpWSyeyFG9ms0SA4aHscV9d4bqWSgRZ3M7EfIyH4WcGVK6e7i2TUppQ+b2TXo36o+fxyp+45NKX24UuYpKaW9ovx4L8qspvtVx0Fi3gs9eVjKK/kORSPpbugn3ACckFL6nZmNQJIZ6ANaiKZgE5Bv7ZfRFOugoryd0Wg3Gi1X7/YpLyTtw9FU7WFPr0OSxrVIF7US/diPIEnxCrJLVGz1FVH5JjpN/556+o6+AenirvFbTztd70VT37FkH+YwiP4LmibfSI4rcVjUI9ojVfzkG9QvfGf3RZJA+L920+llrYp6VtqpIZ5K+x1GjvUwBA3EHeTZAmhl6irybCLa+Cg0HV1aFH8Y6uvTChz7k32+X+W0DkdSjSFGPQ6pEcYj5nk0klh/gabCe5L7cyXqt0cKnAtR//4T0iWORh4/Y9EAt4u/GzE/PpRSusm/5cle1kRgabWP+uqvGmrYFjBskMqJxRbjgaWF9BvTsvWeb4aZ/RRNh0NyuhD9qIYi/f0DYlLj0KKF6f7uG/0ce9MBvSTtSeTYJiMRM5iBftLJTstkxJx2RtLjSH8+AjHCZ9GPbohJfdDMvutS+TQ09UlOK8jYdjBibMF4hnp7HOjlvwPpLyNy4tpKPXrUqYSifjOQiuKdXv5wspTbTae3bdSzWmYvPJX2O8ZvdzmuZ5GUdAQa2N5cvDqKrBOMNo4AWrFUfqPj3NXzRB+9gBjjzt5OG/0d8/rs5u/v7uc9/PmsouwTKufJ9P6mxjiNIWVGbPddnIbhZB/mX5pZGMiirLIubfVXDTVsM2hXOd6HYSSMD7HAYR3ZKhyK+nJjznBTetDvnVqUdT55J5NEdjHahKSpHpZhevrFDicbhiJ+d1h3Ez0XaYQXw0PkHe7DA2CEXy8iL+O/gsLAVOBfj5hEab0/lRyNLXYCKi3dnX7MpLCSN2nb0l82vAWGI0+I9cji3kle8NLpeeLZFX40xFNpvzIdbVH61Eb6/KItqx4IYV0vLfn/W+mjOK8vyl1PVmkt8vIXkX3v1zfAs7nAF+eyX8MYuB4NoqHrDdey95ADVUUZ0U/x3a4me0z02V/1UR/b6hgUyTuldKuZ7Y2m8seh4D4/Q76Vv0XT6ePQdPcDyNAVRomfILVFlHWxmX0drdKchtyOWunGNiOJfzPa4OBWMzsYuZldhizL56BVlyMRU/2sX38ESfdfRxJgSKt7oUHjnUj1Y2gp9TvQ7hqLy+qjAFSpoGM+smTPdjyfQD/+SUgttAvSMW5Gg0QrfV/Ubyk9Zzi/QzaATzndF/vzc71dH0RqhtJg2QhP2X7DinS0RUj5az1t3kfXIAPOHWiGcQRamfonx99tdEJqk/EVXGGgGYEYNeTZUWzgcCK5/e9ALlqGIkKGUW2p54/BcrO3yUVod5RNHnLhSG+DSN9L3hDiL9CM6hNI/RMrQUOAGEv7/VVDDdsEBs3bpEehva3cID3tgfS28radtw9c/bEsV99Zh6boQ8mMpBNJgt0eAE1oPR55Kawme0K8ymkIWgZsta/gTGgQ3Im8dNrYAk+FSltM8jpsJjPVIX68SFazrfHn9/izln3VpL13K8qOjzDUbGEXCAl4JZW+aLNO0U+T0UAWsXLGFjhXOL6xyP3v4lZl11DD9gJbhXlDQyt3U4mlP3n7XDL8sAAABcJJREFUwNWWZbnJOxHWdDx5E+NeHgBNaH0ISW6lFT12JNliq30Fp6GB4DWIAW6xp0KlLQ7ycxeaqYT6KGYLA5JEm7R3MOl9vHxDA19I0+Ha2bAv2sQX/fQM0nsf7Nd7kHetfwz4j+TG8Rpq2BFgqzHvGmqooYYath4M1jZoNdRQQw01bEOomXcNNdRQww4INfOuoYYaatgBoWbeL2Mws01mNtfMFpjZI2b2OTfkYWZTfFFPq/fP9Ngf/cH5hS2hebDBzGab2RRPzzSzXV8iOn5uZvPM7LxBLPN4M3tLcT3VzD46WOXXsH3DYK2wrGH7hK6U0mQAM3sNWtI/BvhKSulB5As+2PAFFF53u4OU0in9yW9mw1JKG7cUr5mNA45KKR3YZ+b+wfHI9TE20r18kMuvYTuGWvJ+hUBKaTlwNvBJExxvZrET+NFmdp+ZPWxm95rZIcWr+7j0+oSZfSVumtkZZvZbl+x/aGZDfXHVSL/3sxb5hprZT8xsvpn9rpU06ri/4+/PN7Oj/f7OZvZjL/thM3uP3x9pZjPM7FEzu54cQwUzW2Jme3j6S2b2uJnd7VLx5wt83zbtCfoZM9vTzK41swf8eGsr/E1gFjDB63BsZTawh5kt8fSZZnadmd3q7X1pQftJZjbHZ1B3mNnrULjW84pyLyjqMdnM7ndp/3oz262o3yVO90IzO7YF3TVsz/BSL/Gsj613UNlGzu+tRBsIHw/8l98bAwzz9InAtZ4+E/lHvxoxwfloscvr0TZysWz/+8BHqzib5UPha28r8u3aog6zUdAtUIyS2Mnna8AZ8T5aYr8z8I/Aj/3+EWjZe2ymsQT5dx+FogPuhPzLnwA+X+D7foH/GuBtnt4XeLQV/iZ1eB09dx2aXdC0B7CkaO+nkB/9TsjffR8UhKsD2M/z7e7nC4Lu6jUKoXycp79K3ixjNvAtT58C3P5Sf6f1MbCjVpvUAGIWV5nZQWgRzvDi2W0ppecAzOw64G2IIf4Z8ICZgRj78gbl/mWTfDcD+5vZv6H9HGf1Qd/PAVJKd5nZGNdbvwN4d0iaiNntixj8dz3/PDOb16C8twI3ppTWAmvN7ObK818U6ROBSU4/wBgzG90C/5bu7H5HSqkTwMx+jwJ47QbclTwsQ0rp+VYFmNlYNCD+2m9dhbaDC7jOzw+hgaWGHRBq5v0KAjPbH99SDEnFARcBd6aUTvfp+OziWXUVVyxfvyql9M99oWyWz8zeiGLHTAX+Bvi7FuU0o+F9KaXHK+X2QVJbsLpIDwGOcUZf4mmIv02IKIogpl/CuiK9ia3zjwaOrVV+DdsAap33KwTMbE+02e33ks+ZCxiLlrmDpu4l/JWZ7W5mI1HM8ntQkKj3uxEUfz7R828ws5DcG+ZzvfOQlNK1KKTum/og/wP+/tuATpdM/xv4lDNRzOxIz3sXEEHuD0eqkyrcA5xmZju5FP2uFrhnoUBXeJmTPdkMfzuwhLzz0fvbyH8/8HYz289xRajcF5Hapwd4+7xQ6LM/ggK71fAygnrUfXnDSDObS45b/VO0Q3UVLkVqky8iNUYJv0WR9vYGrk7yUsHzzjK5Hm5A0RKXovCz88xsTkrpb5vk6wKu9HugLaNawVoze9jrERL6RWj3knlezmLEhH/gZcd+hg9VC0spPWBmNyG98B9RhMbOaj6HTwOXufplGBocprbA3w58E8UPP5ve7d0LUkrPet7rHNdyFIv+ZuBXbiz9VOW1jwGXm9kopEc/q03aathBoI5tUsN2DWY2GxnhBtWt0cxGp5RWOXO7Czg7pTRnMHHUUMPWhFryruGVCleY2SSkc76qZtw17GhQS941bBdgZpchL5ASvpNSuvKloGcgYGbvBC6p3F6cUjr9paCnhpc31My7hhpqqGEHhNrbpIYaaqhhB4SaeddQQw017IBQM+8aaqihhh0QauZdQw011LADQs28a6ihhhp2QPh/3Je3NT2YXzoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Diabetes_pedigree_function', 'Target'])['Diabetes_pedigree_function'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Age, kde = False)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f97b5b20ef0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Age', 'Target'])['Age'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f97af44fb70>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "\n",
    "plt.subplots(figsize=(15, 8))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lwF8m+eCs7Y8CfwDsA+4fQj5pIJx+0VGnqv4RWA1MzFr3fWA7cCu9q/pJY8mRuo46Sc4BVtC7eNLxszb9CfB3VfUfvQtYSuPHUtfR4sCcOvS+Rm59Vb07u7yr6jk860Vjzqs0SlJDnFOXpIZY6pLUEEtdkhpiqUtSQyx1SWqIpS5JDbHUJakhlrokNeR/AQkZ889psPc0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ofKHdS90x6HVca9dSOo/B5WIvbW1PS/LBdm33nUluTnJxW3ZWkn9vF0K7ZfbUfGmSGfQ63m1mcB33/wK+l+Qs4PeAdcAG4I0Mrks0e+2lvwcurqqzgKuBK8dRtLQYI/txcGlKbGFwYTYYnJq+hcH74pNV9XPggSS3tuVnAC8Cdg4uX8IJDC5BK000g17HrSQrGFyB89eTFIPgLh6/Bs6THgLcWVUvPUYlSkPh0I2OZxcD/1JVz6uqdVW1lsEvNT0E/H4bq18FnN/W3wvMJHlsKCfJC8dRuLQYBr2OZ1t48t77p4FfYXCN97uAf2Xw048PV9XPGHw4vDfJ14Dbgd88duVKS+PVK6UjSPKsqvpxu0Tul4CXteu+S1PHMXrpyG5qPxbzDOCvDHlNM/foJalzjtFLUucMeknqnEEvSZ0z6CWpcwa9JHXOoJekzv0fyw3wLeVWmWkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in train.columns:\n",
    "    sns.distplot(train[feature],kde = False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
